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A Dictionary of Epidemiology This page intentionally left blank A Dictionary of Epidemiology Fifth Edition Edited for the International Epidemiological Association by Miquel Porta Professor of Preventive Medicine & Public Health School of Medicine, Universitat Autònoma de Barcelona Senior Scientist, Institut Municipal d’Investigació Mèdica Barcelona, Spain Adjunct Professor of Epidemiology, School of Public Health University of North Carolina at Chapel Hill Associate Editors Sander Greenland John M Last 2008 Oxford University Press, Inc., publishes works that further Oxford University’s objective excellence in research, scholarship, and education Oxford New York Auckland Cape Town Dar es Salaam Hong Kong Karachi Kuala Lumpur Madrid Melbourne Mexico City Nairobi Shanghai Taipei Toronto With offices in Argentina Austria Brazil Chile Czech Republic France Greece Guatemala Hungary Italy Japan Poland Portugal Singapore South Korea Switzerland Thailand Turkey Ukraine Vietnam Copyright © 1983, 1988, 1995, 2001, 2008 International Epidemiological Association, Inc Published by Oxford University Press, Inc 198 Madison Avenue, New York, New York 10016 www.oup-usa.org All rights reserved No part of this publication may be reproduced, stored in a retrieval system, or transmitted, in any form or by any means, electronic, mechanical, photocopying, recording, or otherwise, without the prior permission of Oxford University Press This edition was prepared with support from Esteve Foundation (Barcelona, Catalonia, Spain) (http://www.esteve.org) Library of Congress Cataloging-in-Publication Data A dictionary of epidemiology / edited for the International Epidemiological Association by Miquel Porta; associate editors, John M Last [et al.].—5th ed p cm Includes bibliographical references and index ISBN 978–0-19–531449–6 ISBN 978–0-19–531450–2 (pbk.) Epidemiology—Dictionaries I Porta, Miquel– II International Epidemiological Association RA651.D553 2000 614.4′03—dc21 00–037504 246897531 Printed in the United States of America on acid-free paper Foreword To write a dictionary in any scientific discipline is a risky endeavor, because scientists often disagree The nature of science is not to reach consensus but to advance our knowledge by bringing conflicting ideas to critical examinations That is true also for how we define the concepts we use No dictionary will ever be able to satisfy all, nor should it try to The aim of the International Epidemiological Association (IEA) in cosponsoring this dictionary in its more than 20 years’ history has been to facilitate communication among epidemiologists—to develop a “common language” to the extent that this is possible We need a common language when we write papers, teach, and communicate findings to the public This “common language” changes over time, as anybody can see by reading the successive editions of this dictionary The language changes because our understanding of the concepts changes over time and new research options bring forward new concepts From the IEA, we want to thank John Last for his tremendous achievements as editor of the dictionary, and we are happy to welcome Miquel Porta as the new editor Miquel has provided the smooth transition we were looking for, and we are pleased to see that he continues the tradition of collaborating with leading epidemiologists worldwide to get the best possible result Jørn Olsen, Neil Pearce, and Chitr Sitthi-Amorn Current, coming, and past presidents, International Epidemiological Association www.ieaweb.org v This page intentionally left blank Foreword to the Fourth Edition, 2001 If I had to limit my professional bookcase to a single volume, I would choose this dictionary With many new entries, updates, and other refinements in the fourth edition, the dictionary has grown from the original slim pocket book into a mature and substantial volume John Last and his collaborators must be congratulated for their extraordinary devotion and productivity over the past 20 years, from which epidemiologists around the world have benefited The dictionary’s authority stems from its international recognition It is an immediate source for students and practitioners to verify their understanding of the increasing number of technical words in epidemiologic practice It clarifies concepts that may not have been understood in class, fills many gaps in anyone’s education, and jogs the memory of near-forgotten terms It has no equal in the field of epidemiology The International Epidemiological Association is proud to have had such a long-standing association with the dictionary We all hope this relationship will continue indefinitely in the future, even though John Last, being mortal, will not He has set a high standard for his successors We are grateful that he has prepared the way so well to ensure that the dictionary remains of contemporary relevance in the coming decades Charles du V Florey President, 1999–2002 International Epidemiological Association www.ieaweb.org vii This page intentionally left blank Preface There was virtually no Google, and no Wikipedia then, seemingly centuries ago, when the previous edition of this dictionary came out in 2001 And of the respected dictionaries, very little was “posted on the Internet.” Hard to believe How did we manage, how could we ever have worked? But we did, we surely did: with open minds, critical sense, intellectual rigor No google or wiki or information technology (IT) whatsoever will change that The need to the epidemiological work with “that.” Now we have thousands of webs and wikis with millions of papers, definitions, and discussions regarding terms at our very fingertips Many are truly authoritative You’ll find them – some, selected – duly referenced at the end of this book Yes, we googled and used the Wikipedia, “surfed” and “visited” many remote, beautiful places To surf, to post whew, these terms will soon be obsolete, won’t they? We continue to seek and to find meaning: in PubMed/Medline, in online textbooks and websites Foremost, within the main dictionaries,1–3 which we read often while writing this new edition, and which I hope you will always use in case of doubt or simply to enrich the definitions that we offer here (See pages 265 and 273–289) At—and through—“places” such as HighWire, ScienceDirect, Scopus, SciELO, ProQuest, Synergy, ISI Web of knowledge, Google, Yahoo, Live Search what yesterday was an unthinkable utopia has become an “achievable utopia,” in many places actually achieved daily: the infinite library, and with it the unlimited dictionary too I wish Borges were alive to enjoy it, if not actually to see it, since he was blind So what sense does it make, to craft a dictionary? Simple: in a radically new way, the “IEA dictionary,” “Last’s dictionary” can be as relevant—or more so— as it has been before Because we have again, as always, critically listened and read, thought, discussed, and selected terms, meanings and definitions With “that”: open minds, critical sense, common sense, intellectual rigor, creativity, flexibility, craftsmanship And because nowadays, with more “noise” than ever in history, sifting, decanting—selection with “that”—is more valuable than ever before You will judge, but writing this dictionary confirmed to me that it was perfectly feasible to achieve a normative purpose and an informative one With help of the highest possible academic level from many colleagues (duly acknowledged later), I tried to integrate two approaches to dictionary making: expert-opinion-based prescription (to aid production) and corpus-based description (to aid decoding).395 Meanings of scientific terms need to be proposed —and may occasionally be imposed—on the basis of expert advice; yet experts ix 275 References 41 Porta M, Fernandez E, Bolúmar F The “bibliographic impact factor” and the still uncharted sociology of epidemiology Int J Epidemiol 2006; 35:1130–1135 42 Pike MC, Krailo MD, Henderson BE, et al “Hormonal” risk factors, “breast tissue age” and the age-incidence of breast cancer Nature 1983; 303:767–770 43 Khoury MJ, Little J, Gwinn M, Ioannidis JP On the synthesis and interpretation of consistent but weak gene-disease associations in the era of genome-wide association studies Int J Epidemiol 2007; 36:439–445 44 Tukey J Exploratory Data Analysis Reading, MA: Addison-Wesley, 1977 45 Barker DJP Developmental origins of adult health and disease J Epidemiol Community Health 2004; 58:114–115 46 Burden of Disease Unit, Harvard School of Public Health www.hsph.harvard.edu/ organizations/bdu 47 World Health Organization Burden of Disease Project www.who.int/healthinfo/ bodproject/en 48 World Health Organization Environmental Burden of Disease Series www.who.int/ quantifying_ehimpacts/national/en/index.html 49 Soskolne CL, Andruchow JE, Racioppi F Developing, Conducting and Disseminating Epidemiological Research: From Theory to Practice (In English, Russian and Azeri) United Nations Development Programme (Azerbaijan), World Health Organization (European Centre for Environment and Health (Rome, Italy), and the University of Alberta (Edmonton, Canada), 2007 50 Wittes JT, Colton T, Sidel VW Capture-recapture methods for assessing the completeness of ascertainment when using multiple information sources J Chronic Dis 1974; 27:25–36 51 Hook EB, Regal RR Capture-recapture methods in epidemiology Methods and limitations Epidemiol Rev 1998; 17:243–264 52 Chin J, ed Control of Communicable Disease Manual 17th ed Washington, DC: American Public Health Association, 2000 53 Kupper LL, McMichael AJ, Spirtas R A hybrid epidemiologic study design useful in estimating relative risk J Am Stat Assoc 1975; 70:524–528 54 Rosenbaum PR The case-only odds ratio as a causal parameter Biometrics 2004; 60: 233–240 55 Gillespie IA, O’Brien SJ, Frost JA, et al A Case-case comparison of campylobacter coli and campylobacter jejuni infection: A toll for generating hypotheses Emerg Infect Dis 2002; 8:937–942 56 McCarthy N, Giesecke J Case-case comparison to study causation of common infectious diseases Int J Epidemiol 1999; 28:764–768 57 Giesecke J Modern Infectious Disease Epidemiology New York: Arnold, 2002 58 Maclure M, Mittleman MA Should we use a case-crossover design? Annu Rev Public Health 2000; 21:193–221 59 Hyams KC Developing case definitions for symptom-based conditions; the problem of specificity Epidemiol Rev 1998; 20:148–156 60 Khoury MJ, Flanders WD Nontraditional epidemiologic approaches in the analysis of gene-environment interactions: case-control studies with no controls! Am J Epidemiol 1996; 144:207–213 61 Vandenbroucke JP Clinical investigation In: Lock S, Last JM, Dunea G The Oxford Companion to Medicine Oxford, UK: Oxford University Press, 2001 References 276 62 Fletcher RH, Fletcher SW Clinical Epidemiology—The Essentials 4th ed Philadelphia: Lippincott Williams & Wilkins, 2005 63 Sackett DL, Haynes RB, Guyatt GH, Tugwell P Clinical Epidemiology: A Basic Science for Clinical Medicine 2nd ed Boston: Little, Brown, 1991 64 Zaffanella LE, Savitz DA, Greenland S, et al The residential case-specular method to study wire codes, magnetic fields and disease Epidemiology 1998; 9:16–20 65 Suissa S The case-time-control design Epidemiology 1995; 6:248–253 66 Rothman KJ, ed Causal Inference Chestnut Hill, MA: Epidemiology Resources, 1988 67 Susser MW What is a cause and how we know one? Am J Epidemiol 1991; 133: 635–648 68 Greenland S, Pearl J, Robins JM Causal diagrams for epidemiologic research Epidemiology 1999; 10:37–48 69 Hernández-Díaz S, Schisterman EF, Hernán MA The birth weight “paradox” uncovered? Am J Epidemiol 2006; 164:1115–1120 70 Joffe M, Mindell J Complex causal process diagrams for analyzing the health impacts of policy interventions Am J Public Health 2006; 96:473–479 71 Susser MW Glossary: causality in public health science J Epidemiol Community Health 2001; 55:376–378 72 Rose GA The Strategy of Preventive Medicine Oxford, UK: Oxford University Press, 1992 (Annotated version edited by Khaw KT, Marmot M Oxford, UK: Oxford University Press, 2007) 73 Kuller I Circular epidemiology Am J Epidemiol 1999; 150:897–903 74 Walton D The Oxford Companion to Philosophy Oxford, UK: Oxford University Press, 2005 75 Feinstein AR Clinimetrics New Haven, CT: Yale University Press, 1987 76 McKean E, ed The New Oxford American Dictionary 2nd ed Oxford, UK: Oxford University Press, 2005 77 Blackburn S The Oxford Dictionary of Philosophy 2nd ed Oxford, UK: Oxford University Press, 2005 78 Scott J, Marshall G A Dictionary of Sociology Oxford, UK: Oxford University Press, 2005 79 Sackett DL Bias in analytic research J Chronic Dis 1979; 32:51–63 80 Porta M Epidemiologic plausibility Am J Epidemiol 1999; 150:217–218 81 Samet JM, Muñoz A Evolution of the cohort study Epidemiol Rev 1998; 20:1–14 82 Greenland S Quantifying biases in causal models: classical confounding vs colliderstratification bias Epidemiology 2003; 14:300–306 83 Bjornsson HT, Fallin MD, Feinberg AP An integrated epigenetic and genetic approach to common human disease Trends Genet 2004; 20:350–358 84 London: HMSO, 1915; 1946, etc 85 Anand S, Peter F, Sen A Public Health, Ethics, and Equity Oxford, UK: Oxford University Press, 2005 86 Sen A Development as Freedom New York: Random House, 1999 87 Morris JN The uses of epidemiology Br Med J 1955; 2:395–401 88 Hoffmann K, Heidemann C, Weikert C, Schulze MB, Boeing H Estimating the proportion of disease due to classes of sufficient causes Am J Epidemiol 2006; 163:76–83 89 Diez Roux AV A glossary for multilevel analysis J Epidemiol Community Health 2002; 56:588–594 90 Colman AM A Dictionary of Psychology Oxford, UK: Oxford University Press, 2006 277 References 91 Rubin DB Causal inference using potential outcomes: design, modeling, decisions J Am Stat Assoc 2005; 100:322–331 92 Porta M In: Hartzema AG, Porta M, Tilson HH, eds Pharmacoepidemiology: An Introduction 3rd ed Cincinatti, OH: Harvey Whitney Books, 1998 pp 1–28 93 Hernán MA, Hernández-Díaz S, Werler MM, Mitchell AA Causal knowledge as a prerequisite for confounding evaluation: an application to birth defects epidemiology Am J Epidemiol 2002; 155:176–184 94 Kane RL, Wang J, Garrard J Reporting in randomized clinical trials improved after adoption of the CONSORT statement J Clin Epidemiol 2007; 60:241–249 95 Sanderson S, Tatt ID, Higgins JPT Tools for assessing quality and susceptibility to bias in observational studies in epidemiology: a systematic review and annotated bibliography Int J Epidemiol 2007; 36:666–676 96 Pan American Health Organization OSP, CE7, W-15 Washington, DC: PAHO, 1949 97 Kleinbaum DG, Kupper LL, Morgenstern H Epidemiologic Research Principles and Quantitative Methods Belmont, CA: Lifetime Learning Publications, 1982 98 Kendall MG, Buckland WR A Dictionary of Statistical Terms 4th ed London: Longman, 1982 99 Dobson A The Oxford Dictionary of Statistical Terms Oxford, UK: Oxford University Press, 2003 100 Jefferson TO, deMicheli V, Mugford M Elementary Economic Evaluation in Health Care London: BMJ Books, 1996 101 Van der Weele TJ, Hernán MA From counterfactuals to sufficient component causes and vice versa Eur J Epidemiol 2006, 21:855–858 102 Pearl J Causality New York: Cambridge University Press, 2000 103 Clayton D, Hill M Statistical Models in Epidemiology Oxford, UK: Oxford University Press, 1993 104 Marinker M, ed Constructive Conversations about Health Policy and Values Oxford, UK, & Seattle, WA: Radcliffe Publishing, 2006 105 Anonymous Cross design synthesis: a new strategy for studying medical outcomes? [editorial] Lancet 1992; 340:944–946 106 Greenland S Quantitative methods in the review of epidemiologic literature Epidemiol Rev 1987; 9:1–30 107 Greenland S, Robins J Ecologic studies–Biases, misconceptions and counter-examples Am J Epidemiol 1994; 139:747–771 108 Janes CR, Stall R, Gifford SM, eds Anthropology and Epidemiology Interdisciplinary Approaches to the Study of Health and Disease Dordrecht: Reidel, 1986 109 Alderson M: An Introduction to Epidemiology 2nd ed London: Macmillan, 1983 110 Li G, Baker S, Langlois J, et al Are female drivers safer? An application of the decomposition method Epidemiology 1998; 9:379–384 111 McMichael AJ Prisoners of the proximate: Loosening the constraints on epidemiology in an age of change Am J Epidemiol 1999; 149:887–897 112 Kuh D, Ben-Shlomo Y, eds A Life Course Approach to Chronic Disease Epidemiology 2nd ed Oxford, UK: Oxford University Press, 2004 113 De Stavola BL, Nitsch D, Silva ID, et al Statistical issues in life course epidemiology Am J Epidemiol 2006; 163:84–96 114 Barker DJP Fetal and Infant Origins of Adult Disease London: British Medical Journal Publications, 1992 References 278 115 Barker DJP Fetal Origins of Cardiovascular and Lung Disease New York: Marcel Dekker, 2001 116 Feinberg AP Phenotypic plasticity and the epigenetics of human disease Nature 2007, 447:433–440 117 Ozanne SE, Constancia M Mechanisms of disease: the developmental origins of disease and the role of the epigenotype Nat Clin Pract Endocrinol Metab 2007; 3:539–546 118 Dolinoy DC, Huang D, Jirtle RL Maternal nutrient supplementation counteracts bisphenol A–induced DNA hypomethylation in early development Proc Natl Acad Sci USA 2007; 104:13056–13061 119 Curtis VA Dirt, disgust and disease: a natural history of hygiene J Epidemiol Community Health 2007; 61:660–664 120 Blalock HM Causal Inference in Non-experimental Research Chapel Hill, NC: University of North Carolina Press, 1964 Blalock HM Jr, ed Causal Models in the Social Sciences 2nd ed New York: Aldine, 1985 Blalock HM Jr, ed Causal Models in Experimental Designs Piscataway, NJ: Aldine Transaction, 2007 121 Kramer MS, Boivin JF Towards an “unconfounded” classification of epidemiologic research design J Chronic Dis 1987; 40:683–688 122 Arnesen T, Nord E The value of DALY life: problems with ethics and validity of disability adjusted life years BMJ 1999; 319:1423–1425 123 Mathers CD, Robine JM, Wilkins R Health expectancy indicators Recommendations for terminology In: Mathers CD, Robine JM, McCallum J, eds Proceedings of Seventh Meeting of the International Network on Health Expectancy (REVES) Canberra: Australian Institute of Health and Welfare, 1994 124 Twaddle AC Sickness and sickness career: Some implications In: Eisenberg L, Kleinman A, eds The Relevance of Social Science for Medicine Dordrecht: Reidel, 1981 pp 111–133 125 Kleinman A The Illness Narratives Suffering, Healing, and the Human Condition New York: Basic Books, 1988 126 Coe RM Sociology of Medicine New York: McGraw-Hill, 1970 pp 89–115 127 Eisenberg L The subjective in medicine Perspect Biol Med 1983; 1:40–48 128 Kleinman A, Eisenberg L, Good B Culture, illness and care Clinical lessons from anthropologic and cross-cultural research Ann Intern Med 1978; 88:251–258 129 Gunning-Schepers L The health benefits of prevention: a simulation approach Health Policy 1989; 12:1–255 130 Aldrich T, Griffith J Environmental Epidemiology and Risk Assessment New York: Van Nostrand Reinhold, 1993 131 United States National Center for Infectious Diseases, Division of Parasitic Diseases, 2004 www.cdc.gov/malaria/glossary.htm 132 American Lung Association (www.lungusa.org) 133 Raviglione MC, Smith IM XDR tuberculosis–implications for global public health N Engl J Med 2007; 356:656–659 134 Khoury MJ, Burke W, Thomson EJ Genetics and Public Health in the 21st Century Using Genetic Information to Improve Health and Prevent Disease New York: Oxford University Press, 2000 135 Eimerl TS Organized curiosity J Coll Gen Pract 1960; 3:246–252 136 Susser MW Does risk factor epidemiology put epidemiology at risk? Peering into the future J Epidemiol Community Health 1998; 52:608–611 279 References 137 Krieger N A glossary for social epidemiology J Epidemiol Community Health 2001; 55:693–700 138 Martens P, McMichael AJ, eds Environmental change, climate and health Cambridge, UK: Cambridge University Press, 2003 139 Bosch X, ed Archie Cochrane: Back to the Front Barcelona: Institut Català d’Oncologia, 2004 140 Cochrane AL Effectiveness and Efficiency; Random Reflections on Health Services London: Nuffield Provincial Hospitals Trust, 1972 141 Palmer S, Torgerson DJ Economic notes: definitions of efficiency BMJ 1999; 318:1136 142 Krieger N Embodiment: a conceptual glossary for epidemiology J Epidemiol Community Health 2005; 59:350–355 143 Everett M The social life of genes: privacy, property and the new genetics Soc Sci Med 2003; 56:53–65 144 Hall E Spaces and networks of genetic knowledge making: the “geneticisation” of heart disease Health Place 2004; 10:311–318 145 Banta JE Treating the traveler A brief guide to emporiatrics Postgrad Med 1973; 53:53–58 146 Everitt BS Statistics in the Medical Sciences Cambridge, UK: Cambridge University Press, 1995 147 Cohen JE How Many People Can the Earth Support? New York: Norton, 1995 p 13 148 Herbst AL, Ulfelder H, Poskanzer DC Adenocarcinoma of the vagina: Association of maternal stilbestrol therapy with tumor appearance in young women N Engl J Med 1971; 284:878–881 149 Centers for Disease Control: Pneumocystis pneumonia–Los Angeles MMWR 1981; 30:250–252 150 European Centre for Disease Prevention and Control (ECDC) Epidemic intelligence www.ecdc.eu.int/Activities/Epidemic_Intelligence.html 151 World Health Organization Epidemic and Pandemic Alert and Response (EPR) www who.int/csr/alertresponse/epidemicintelligence/en/index.html 152 Stolley PD, Lasky T Investigating Disease Patterns The Science of Epidemiology New York: Scientific American Library, 1995 153 Hecker JFK Der Grossen Volkskrankheiten des Mittelalters (Epidemics of the Middle Ages) Berlin: Enslin, 1865 (English translation published by the Sydenham Society, London, 1883) 154 Creighton C A History of Epidemics in Britain Cambridge, UK: Cambridge University Press, 1891–1994 (2 Vols) 155 McNeill W Plagues and Peoples New York: Doubleday, 1976 156 McKeown T The Origins of Human Disease Oxford: Blackwell, 1988 157 Pusey WA The History and Epidemiology of Syphilis Springfield, IL: Thomas, 1933 158 Dubos R, Dubos J The White Plague; Tuberculosis, Man and Society Boston: Little, Brown, 1952 159 Paul JR A History of Poliomyelitis New Haven, CT: Yale University Press, 1971 160 Zinsser H Rats, Lice and History Boston: Little, Brown, 1935 161 Grmek MD Les Maladies L’Aube de la Civilisation Occidentale Paris: Payot, 1983 162 Omran AR The epidemiologic transition; a theory of the epidemiology of population change Milbank Mem Fund Q 1971; 49:509–538 Reprinted: Bull WHO 2001; 79:161–170 References 280 163 Mackenbach JP The epidemiologic transition theory J Epidemiol Community Health 1994; 48:329–332 164 Trichopoulos D Accomplishments and prospects of epidemiology Prev Med 1996; 25:4–6 165 MacMahon B Strengths and limitations of epidemiology In: The National Research Council in 1979 Washington, DC: National Academy of Sciences, 1979 166 Shy CM The failure of academic epidemiology: witness for the prosecution Am J Epidemiol 1997; 145:479–484 167 Wing S Limits of epidemiology Med Global Surv 1994; 1:74–86 168 Samet JM Epidemiology and policy: The pump handle meets the new millennium Epidemiol Rev 2000; 22:145–154 169 Krieger N Epidemiology and the web of causation: Has anyone seen the spider? Soc Sci Med 1994; 39:887–903 170 Vandenbroucke JP Is “The causes of cancer” a miasma theory for the end of the twentieth century? Int J Epidemiol 1988; 17:708–709 171 Jablonka E Epigenetic epidemiology Int J Epidemiol 2004; 33:929–935 172 Feinberg AP, Tycko B The history of cancer epigenetics Nat Rev Cancer 2004; 4:143–153 173 Jaenisch R, Bird A Epigenetic regulation of gene expression: how the genome integrates intrinsic and environmental signals Nat Genet 2003; 33(Suppl):245–254 174 Vercelli D Genetics, epigenetics, and the environment: switching, buffering, releasing J Allergy Clin Immunol 2004; 113:381–386 175 Herman JG, Baylin SB Gene silencing in cancer in association with promoter hypermethylation N Engl J Med 2003; 349:2042–2054 176 Jirtle RL, Skinner MK Environmental epigenomics and disease susceptibility Nat Rev Genet 2007; 8:253–262 177 Ting AH, McGarvey KM, Baylin SB The cancer epigenome–components and functional correlates Genes Dev 2006; 20:3215–3231 178 Knorr-Cetina K Epistemic cultures In: Restivo S, ed Science, Technology, and Society An Encyclopedia Oxford, UK: Oxford University Press, 2005 179 Carpiano RM, Daley DM A guide and glossary on postpositivist theory building for population health J Epidemiol Community Health 2006; 60:564–570 180 Buck C Popper’s philosophy for epidemiologists Int J Epidemiol 1975; 4:159–168 181 Miettinen OS Epidemiology: quo vadis? Eur J Epidemiol 2004; 19:713–718 182 Bolúmar F, Porta M Epidemiologic methods: beyond clinical medicine, beyond epidemiology Eur J Epidemiol 2004; 19:733–735 183 Schwartz S, Carpenter KM The right answer to the wrong question: consequences of type III error for public health research Am J Public Health 1999; 89:1175–1180 184 Bankowski Z, Bryant JH, Last JM, eds Ethics and Epidemiology: International Guidelines Geneva: CIOMS/WHO, 1991 185 Fayerweather WE, Higginson J, Beauchamp TL, eds Ethics in Epidemiology New York: Pergamon Press, 1991 186 International Epidemiological Association Good Epidemiological Practice (GEP) Proper conduct in epidemiologic research www.dundee.ac.uk/iea/GEP07.htm 187 American College of Epidemiology Ethics guidelines Ann Epidemiol 2000; 10(Suppl 1): S1–S103 188 Bhopal R Glossary of terms relating to ethnicity and race: for reflection and debate J Epidemiol Community Health 2004; 58:441–445 281 References 189 Tajima K, Sonoda S Ethnoepidemiology, a new paradigm for studying cancer risk factors and prevention strategy In: Tajima K, Sonoda S, eds Ethnoepidemiology of Cancer Tokyo: Japan Scientific Societies Press, 1996 190 Evans AS Causation and disease: The Henle-Koch postulates revisited Yale J Biol Med 1976; 49:175–195 191 Straus S, Richardson WS, Glasziou P, Haynes RB Evidenced Based Medicine: How to Practice and Teach EBM 3rd ed London: Churchill-Livingstone, 2005 192 Ransohoff DF Rules of evidence for cancer molecular-marker discovery and validation Nat Rev Cancer 2004; 4:309–314 193 Ransohoff DF How to improve reliability and efficiency of research about molecular markers: roles of phases, guidelines, and study design J Clin Epidemiol 2007; 60: 1205–1219 194 Brownson RC, Gurney JG, Land G Evidence-based decision making in public health J Public Health Manage Pract 1999; 5:86–97 195 Rychetnik L, Frommer M, Hawe P, Shiell A Criteria for evaluating evidence on public health interventions J Epidemiol Community Health 2002; 56:119–127 196 Rychetnik L, Hawe P, Waters E, et al A glossary for evidence based public health J Epidemiol Community Health 2004; 58:538–545 197 Rodríguez-Artalejo F La salud pública basada en la evidencia Gac Sanit 1997; 11: 201–203 198 Kramer JM The rising pandemic of mental disorders and associated chronic diseases and disabilities Acta Psychiatr Scand 1980; 62 (Suppl 285):382–397 199 Murray CJL Quantifying the burden of disease: the technical basis of quality-adjusted life years Bull WHO 1994, 72:429–445 200 Duffus JH, ed, for the International Union of Pure and Applied Chemistry Glossary for chemists of terms used in toxicology (IUPAC recommendations, 1993) Pure Appl Chem 1993; 65:2003–2122 201 Kazandjian VA The extremal quotient in small area variation analysis Health Serv Res 1989; 24:665–684 202 ICD-10 Vol 1: Report of the International Conference for the Tenth Revision of the International Classification of Diseases Geneva: WHO, 1993 pp 9–28 203 Farr W Vital Statistics A Memorial Volume of Selections from the Reports and Writings of William Farr Edited by Noel Humphries London: Stanford, 1985 204 Gregg MB, ed Field Epidemiology 2nd ed New York: Oxford University Press, 2002 205 Goodman RA, Munson JW, Dammers K, et al Forensic epidemiology: Law at the intersection of public health and criminal investigations J Law Med Ethics 2003; 31:684–700 www.publichealthlaw.info 206 Egger M, Smith GD, Schneider M, Minder C Bias in meta-analysis detected by a simple, graphical test BMJ 1997; 315:629–634 207 Morange M The Misunderstood Gene Cambridge, MA: Harvard University Press, 2001 208 Coping with complexity [editorial] Nature 2006; 441:383–384 209 ENCODE Project Consortium Identification and analysis of functional elements in 1% of the human genome by the ENCODE pilot project Nature 2007; 447:799–816 210 Khoury MJ, Beaty TH, Cohen BH Fundamentals of Genetic Epidemiology New York: Oxford University Press, 1993 211 Adelman DE The false promise of the genomics revolution for environmental law Harvard Environ Law Rev 2005; 29:117–177 References 282 212 Davey Smith G, Ebrahim S, Lewis S, et al Genetic epidemiology and public health: hope, hype, and future prospects Lancet 2005; 366:1484–1498 213 Vineis P, Schulte P, McMichael AJ Misconceptions about the use of genetic tests in populations Lancet 2001; 357:709–712 214 Vainio H Genetic biomarkers and occupational epidemiology—recollections, reflections and reconsiderations Scand J Work Environ Health 2004; 30:1–3 215 Caporaso NE Why have we failed to find the low penetrance genetic constituents of common cancers? Cancer Epidemiol Biomarkers Prev 2002; 11:1544–1549 216 Shostak S Locating gene-environment interaction: at the intersections of genetics and public health Soc Sci Med 2003; 56:2327–2342 217 Porta M The genome sequence is a jazz score Int J Epidemiol 2003; 32:29–31 218 Poirier MC Chemical-induced DNA damage and human cancer risk Nat Rev Cancer 2004; 4:630–637 219 Luch A Nature and nurture–lessons from chemical carcinogenesis Nat Rev Cancer 2005; 5:113–125 220 www.gis.com 221 De Maio FG Income inequality measures J Epidemiol Community Health 2007; 61:849–852 222 McDonald CJ, Overhage JM Guidelines you can follow and can trust: an ideal and an example JAMA 1994; 271:872–873 223 A framework for health promotion policy: a discussion document Health Promotion 1986; 1:335–340 224 Stokes J III, Noren JJ, Shindell S Definition of terms and concepts applicable to clinical preventive medicine J Community Health 1982; 8:33–41 225 Last JM Public Health and Human Ecology 2nd ed Stamford, CT: Appleton & Lange, 1997 226 Becker MH, ed The Health Belief Model and Personal Health Behavior Thorofare, NJ: Slack, 1974 227 Robine JM, Mathers CD, Bucquet D Distinguishing health expectancies and healthadjusted life expectancies Am J Public Health 1993; 83:797–798 228 World Health Organization Ottawa Charter for Health Promotion Geneva: WHO, 1986 229 Milio N Public Health in the Market: Facing Managed Care, Lean Government, and Health Disparities Ann Arbor, MI: The University of Michigan Press, 2000 230 McMichael AJ, Spirtas R, Kupper LL An epidemiologic study of mortality within a cohort of rubber workers, 1964–72 J Occup Med 1974; 16:458–464 231 Mehrez A, Gafni A Quality adjusted life years, utility theory and healthy years equivalents Med Decis Making 1989; 9:142–149 232 Hyder AA, Rotllant G, Morrow RH Measuring the burden of disease Healthy life years Am J Pub Health 1998; 88:196–202 233 Fine PEM Herd immunity: History, theory, practice Epidemiol Rev 1993; 15:265–302 234 Müller-Wille S, Rheinberger HJ, eds Heredity Produced: At the Crossroads of Biology, Politics, and Culture, 1500–1870 Cambridge, MA: The MIT Press, 2007 235 Cobb M Heredity before genetics: a history Nat Rev Genet 2006; 7:953–958 236 Canadian Task Force on the Periodic Health Examination The Canadian Guide to Clinical Preventive Health Care Ottawa: Canada Communication Group,1994 237 U.S Preventive Services Task Force Guide to Clinical Preventive Services 2006 Baltimore, MD: Williams & Wilkins, 2006 283 References 238 Hill AB The environment and disease: association or causation Proc R Soc Med 1965; 58:295–300 239 Popper K The Logic of Scientific Discovery 11th ed London: Hutchinson, 1983 240 Gifford SM The meaning of lumps: a case study of the ambiguities of risk In: Janes CR, Stall R, Gifford SM, eds Anthropology and Epidemiology Interdisciplinary Approaches to the Study of Health and Disease Dordrecht: Reidel, 1986 pp 213–246 241 Last JM The iceberg Lancet 1963; 2:28–31 242 Heller RF, Dobson AJ, Attia J, Page J Impact numbers: measures of risk factor impact on the whole population from case-control and cohort studies J Epidemiol Community Health 2002; 56:606–610 243 King RC, Stansfield WD, Mulligan PK A Dictionary of Genetics Oxford, UK: Oxford University Press, 2007 244 Council for International Organizations of Medical Sciences www.cioms.ch 245 Relman AS The Ingelfinger Rule N Engl J Med 1981; 305:824–826 246 Angell M, Kassirer JP The Ingelfinger Rule revisited N Engl J Med 1991; 325: 1371–1373 247 Altman LK The Ingelfinger rule, embargoes, and journal peer review Part Lancet 1996; 347:1382–1386 Part Lancet 1996; 347:1459–1463 248 Cavallis L, Feldman MW Models for cultural inheritance.1: Group mean and within group variation Theoret Popul Biol 1973; 4:42–55 249 Cloninger CR, Rice J, Reich T Multifactorial inheritance with cultural transmission and assortative mating 2: General-model of combined polygenic and cultural inheritance Am J Hum Genet 1979; 31:176–198 250 McGue M, Rao DC, Iselius L, Russell JM Resolution of genetic and cultural inheritance in twin families by path-analysis application to HDL-cholesterol Am J Hum Genet 1985; 37:998–1014 251 Hamsten A, Defaire U, Iselius L, Blomback M Genetic and cultural inheritance of plasma-fibrinogen concentration Lancet 1987; 2:988–991 252 Baker SP, O’Neill B, Ginsburg MJ, et al, eds The Injury Fact Book New York: Oxford University Press, 1992 253 Hernán MA, Robins JM Instruments for causal inference: an epidemiologist’s dream? Epidemiology 2006; 17:360–372 254 Porta M, Hernández-Aguado I, Lumbreras B, Crous-Bou M “Omics” research, monetization of intellectual property and fragmentation of knowledge: can clinical epidemiology strengthen integrative research? J Clin Epidemiol 2007; 60:1220–1225 255 Schwartz D, Lellouch J Explanatory and pragmatic attitudes in therapeutic trials J Chronic Dis 1967; 20:637–648 256 Schwartz D, Flamant L, Lellouch J L’essai therapéutique chez l’homme 2nd ed Paris: Flammarion, 1981 257 Classification Committee of the World Organization of National Colleges, Academies, and Academic Associations of General Practitioners/Family Physicians (WONCA) International Classification of Primary Care (ICPC-2) 2nd ed Oxford, UK: Oxford University Press, 1998 www.globalfamilydoctor.com and www.woncaeurope.org 258 Classification Committee of the World Organization of National Colleges, Academies, and Academic Associations of General Practitioners/Family Physicians (WONCA) International Classification of Primary Care (ICPC-2-R) 2nd ed, rev Oxford, UK: Oxford University Press, 2005 References 284 259 Horton R The rhetoric of research BMJ 1995; 310:985–987 260 Vandenbroucke JP Medical journals and the shaping of medical knowledge Lancet 1998; 352:2001–2006 261 Rothenburg R, Ford ES, Vaitianen R Ischemic heart disease: estimating the impact of interventions J Clin Epidemiol 1992; 45:1:21–29 262 Hernán MA, Robins JM Estimating causal effects from epidemiological data J Epidemiol Community Health 2006; 60:578–586 263 Murphy EA The Logic of Medicine Baltimore: Johns Hopkins University Press, 1976 p 16 264 Jarman B Identification of underprivileged areas Br Med J 1983; 286:1705–1709 265 Jellinek EM: The disease concept of alcoholism New Haven, CT: College & University Press, 1960 266 García AM, Checkoway H A glossary for research in occupational health J Epidemiol Community Health 2003; 57; 7–10 267 Kaplan EL, Meier P Non-parametric estimation for incomplete observations J Am Stat Assoc 1958; 53:457–481 268 Merz M Knowledge construction In: Restivo S, ed Science, Technology, and Society An Encyclopedia Oxford, UK: Oxford University Press, 2005 269 Carrat F, Valleron AJ Epidemiologic mapping using the “Kriging” method: application to an influenza-like illness in France Am J Epidemiol 1992; 135:1293–1300 270 Ledermann S Alcool, Alcoolisme et Alcoolisation Paris: Presses Universitaires de France, 1956 271 Holmes TH, Rahe RH The social readjustment rating scale J Psychosom Res 1967; 1:213–218 272 Mantel N, Haenszel W Statistical aspects of the analysis of data from retrospective studies of disease J Natl Cancer Inst 1959; 22:719–748 273 Robins JM, Hernán MA, Brumback B Marginal structural models and causal inference in epidemiology Epidemiology 2000; 11:550–560 274 Hamer W Epidemic disease in England Lancet 1906; 1:733–739 275 Fine PEM Herd immunity: History, theory, practice Epidemiol Rev 1993; 15:265–302 276 Meade MS, Earickson RJ Medical Geography 2nd ed London: Guilford, 2005 277 Learmonth ATA Disease Ecology An Introduction Oxford: Blackwell, 1988 278 Davey Smith G, Ebrahim S “Mendelian randomization”: can genetic epidemiology contribute to understanding environmental determinants of disease? Int J Epidemiol 2003; 32:1–22 279 Dickerson K, Berlin JA Meta-analysis: state of the science Epidemiol Rev 1992; 14:154–176 280 Petitti DB Meta-Analysis, Decision Analysis and Cost-Effectiveness Analysis: Methods for Quantitative Synthesis in Medicine 2nd ed New York: Oxford University Press, 1999 281 www.undp.org/mdg/basics.shtml 282 McMichael AJ “Molecular epidemiology”: New pathway or new travelling companion? Am J Epidemiol 1994; 140:1–11 283 Schulte PA, Perera FP Molecular Epidemiology Principles and Practices Orlando, FL: Academic Press, 1993 284 Carrington M, Hoelzel R Molecular Epidemiology New York: Oxford University Press, 2001 285 Hunter DJ The future of molecular epidemiology Int J Epidemiol 1999; 28:S1012–S1014 285 References 286 Stroup DF, Berlin JA, Morton SC, et al Meta-analysis of observational studies in epidemiology (MOOSE) group Meta-analysis of observational studies in epidemiology: a proposal for reporting JAMA 2000; 283:2008–2012 287 Diez-Roux A Bringing context back into epidemiology: variables and fallacies in multilevel analysis Am J Public Health 1998; 88:216–222 288 Von Engelhardt D Causality and conditionality in medicine around 1900 In: DelkeskampHayes C, Cutter MAG, eds Science, Technology, and the Art of Medicine Dordrecht: Kluwer, 1993 pp 75–104 289 Snow J On the Mode of Communication of Cholera London; 1855 290 Wright J, Williams R, Wilkinson JR Development and importance of health needs assessment BMJ 1998; 316:1310–1313 291 Wacholder S, McLaughlin JK, Silverman DT, Mandel JS Selection of controls in case-control studies I Principles Am J Epidemiol 1992; 135:1019–1028 II Types of controls Am J Epidemiol 1992; 135:1029–1041 III Design options Am J Epidemiol 1992; 135:1042–1050 292 Guyatt G, Sackett D, Taylor DW, et al Determining optimal therapy: randomized trials in individual patients N Engl J Med 1986; 314:889–892 293 McLeod RS, Taylor DW, Cohen Z, Cullen JB Single-patient randomised clinical trial Use in determining optimum treatment for patient with inflammation of Kock continent ileostomy reservoir Lancet 1986; 1:726–728 294 Porta M The search for more clinically meaningful research designs: single patient clinical trials [editorial] J Gen Intern Med 1986; 1:418–419 295 Shackelford RE, Kaufmann WK, Paules RS Cell cycle control, checkpoint mechanisms, and genotoxic stress Environ Health Perspect 1999; 107(Suppl 1):5–24 296 Faber K Nosography in Modern Internal Medicine New York: Hoeber, 1923 297 Laupacis A, Sackett DL, Roberts RS An assessment of clinically useful measurements of the consequences of treatment N Engl J Med 1988; 318:1728–1733 298 Chatellier G, Zapletal E, Lemaitre D, et al The number needed to treat: a clinically useful nomogram in its proper context BMJ 1996; 312:426–429 299 Checkoway H, Pearce N, Kriebel D Research Methods in Occupational Epidemiology 2nd ed New York: Oxford University Press, 2004 300 Monson RR Occupational Epidemiology 2nd ed Boca Raton, FL: CRC Press, 1990 301 Lowe EJ The Oxford Companion to Philosophy Oxford, UK: Oxford University Press, 2005 302 Kuhn T The Structure of Scientific Revolutions Chicago: University of Chicago Press, 1962 303 Strom BL, ed Pharmacoepidemiology 4th ed Chichester: Wiley, 2005 304 Porta M, Carné X Pharmacoepidemiology In: Trichopoulos D, Olsen J, eds Teaching of Epidemiology Oxford, UK: Oxford University Press, 1992 pp 285–304 305 Pickles WN Epidemiology in Country Practice Bristol: John Wright, 1939 306 Porta M, Alvarez-Dardet C Epidemiology: bridges over (and across) roaring levels [editorial] J Epidemiol Community Health 1998; 52:605 307 Franco A, Álvarez-Dardet C, Ruiz MT Effect of democracy on health: ecological study BMJ 2004; 329:1421–1424 308 Morgan LM Political economy of health In: Restivo S, ed Science, Technology, and Society An Encyclopedia Oxford, UK: Oxford University Press, 2005 References 286 309 Vineis P, Malats N, Lang M, et al, eds Metabolic Polymorphisms and Susceptibility to Cancer IARC Scientific Publications, no 148 Lyon, France: International Agency for Research on Cancer, 1999 310 MacMahon B, Pugh TF Epidemiology Principles and Methods Boston: Little, Brown, 1970 311 Cole P, MacMahon B Attributable risk percent in case-control studies Br J Prev Soc Med 1971; 25:242–244 312 Young TK Population Health Concepts and Methods New York: Oxford University Press, 1998 313 Beaglehole R, Bonita R, Kjellström T Basic Epidemiology Geneva: WHO, 1993 pp 85–88 314 Bentzen N, ed WONCA Dictionary of General/Family Practice Copenhagen: Laegeforeningens Forlag, 2003 315 Frank E Osler was wrong: you are a preventionist Am J Prev Med 1991; 7:128 316 Hannaford PC, Smith BH, Elliott AM Primary care epidemiology: its scope and purpose Family Practice 2006; 23:1–7 317 Starfield B Primary Care: Concept, Evaluation and Policy New York: Oxford University Press, 1992 318 World Health Organization Glossary of Terms Used in the Health for All Series, No 1–8 Geneva: WHO, 1984 319 Olsen J, Bréart G, Saracci R, et al., on behalf of the International Epidemiological Association—IEA European Epidemiology Group Directive of the European Parliament and of the Council on the protection of individuals with regard to the processing of personal data and on the free movement of such data Int J Epidemiol 1995; 24:462–463 320 Weed LL Medical records that guide and teach N Engl J Med 1968; 278:593–600, 652–657 321 Feinstein AR Clinical Epidemiology The Architecture of Clinical Research Philadelphia: Saunders, 1985 322 Feinstein AR Clinical biostatistics: LVII A glossary of neologisms in quantitative clinical science Clin Pharmacol Ther 1981; 30:564–577 323 D’Agostino RB Jr Propensity score methods for bias reduction in the comparison of a treatment to a non-randomized control group Stat Med 1998; 17:2265–2281 324 Public Health in England: The Report of the Committee of Inquiry into the Future Development of the Public Health Function Cmnd 289 London: HMSO, 1988 325 Higher Education for Public Health: A Report of the Milbank Memorial Fund Commission New York: Milbank Memorial Fund, 1976 326 European Observatory on Health Systems and Policies Research topics: Health impact assessment www.euro.who.int/observatory 327 Whiting P, Rutjes AW, Reitsma JB, et al The development of QUADAS: a tool for the quality assessment of studies of diagnostic accuracy included in systematic reviews BMC Med Res Methodol 2003; 3:25 328 Schwandt TA Qualitative Inquiry: A Dictionary of Terms Thousand Oaks, CA: Sage Publications, 1997 329 Donabedian A A Guide to Medical Care Administration Vol New York: American Public Health Association, 1969 330 Moher D, Cook DJ, Eastwood S, et al Improving the quality of reports of meta-analyses of randomised controlled trials: the QUOROM statement Lancet 1999; 354:1896–1900 287 References 331 A Dictionary of Biology Oxford, UK: Oxford University Press, 2004 332 Omi M, Winant H On the theoretical status of the concept of race In: McCarthy C, Crichlow W, eds Race, Identity and Representation New York: Routledge, 1993:1–9 333 Rapid epidemiological assessment Int J Epidemiol 1989; 18 (Suppl 2):S1-S67 334 Newcombe HB Handbook of Record Linkage Oxford, UK: Oxford Medical Publications, 1988 335 Dunn HL Record linkage Am J Public Health 1946; 36:1412 336 Lambert ML, Hasker, E, Van Deun A, Roberfroid D, Boelaert M, Van der Stuyft P Recurrence in tuberculosis: relapse or reinfection? Lancet Inf Dis 2003; 3:282–287 337 Wilcox AJ The analysis of recurrence risk as an epidemiological tool Paediatr Perinat Epidemiol 2007; 21(Suppl 1):4–7 338 World Health Organization International Union against Tuberculosis and Lung Disease, Royal Netherlands Tuberculosis Association Revised international definitions in tuberculosis control Int J Tuberc Lung Dis 2001; 5:213–215 339 Vickers GR What sets the goals of public health? Lancet 1958; 1:599–604 340 Fox JP, Elveback L, Scott, W, et al Herd immunity: Basic concept and relevance to public health immunization practices Am J Epidemiol 1971; 94:179–189 341 Goldberg J, Gelfand HM, Levy PS Registry evaluation methods Epidemiol Rev 1980; 2:210–220 342 World Health Organization, International Union against Tuberculosis and lung disease, Royal Netherlands Tuberculosis Association Revised international definitions in tuberculosis control Int J Tuberc Lung Dis 2001; 5:213–215 343 Verver S, Warren RM, Beyers N, et al Rate of reinfection tuberculosis alter successful treatment is higer than rate of new tuberculosis Am J Resp Crit Med Care Med 2005; 17:1430–1435 344 Suissa S Relative excess risk: an alternative measure of comparative risk Am J Epidemiol 1999; 150:279–282 345 Patrick DL, Erickson P Health Status and Health Policy: Allocating Resources to Health Care New York: Oxford University Press, 1993 346 Dawber TR, Kannel WB, Revotskie N, et al Some factors associated with the development of coronary heart disease: six years’ follow-up experience in the Framingham study Am J Public Health 1959; 49:1349–56 347 Bailey JE Lessons from metabolic engineering for functional genomics and drug discovery Nature Biotechnol 1999; 17:616–618 348 Feinstein AR The Santayana syndrome I: Errors in getting and interpreting evidence Perspect Biol Med 1997; 41:45–57 349 Feinstein AR The Santayana syndrome II: Problems in reasoning and learning about error Perspect Biol Med 1997; 41:73–85 350 Santayana G Reason in common sense In: The Life of Reason Vol New York: Scribner’s, 1905 (Amherst, NY: Prometheus Books, 1998) 351 Sartwell PE The incubation period of infectious diseases Am J Hygiene 1950; 51:310–318 352 Brouwer JJ, Schreuder RF Scenarios and Other Methods to Support Long Term Health Planning Utrecht: Jan van Arkel, 1988 353 Medawar P Pluto’s Republic The Art of the Soluble Induction and Intuition in Scientific Thought Oxford, UK: Oxford University Press, 1984 354 Wilson JMG, Jungner G The Principles and Practice of Screening for Disease Geneva: WHO, 1968 References 288 355 Raffle AE, Gray M Screening Evidence and Practice Oxford, UK: Oxford University Press, 2007 356 Hernán MA, Hernández-Díaz S, Robins JM A structural approach to selection bias Epidemiology 2004; 15:615–625 357 Olson SH, Voigt LF, Begg CB, Weiss NS Reporting participation in case-control studies Epidemiology 2002; 13:123–126 358 Kunzli N, Tager IB The semi-individual study in air pollution epidemiology: a valid design as compared to ecologic studies Environ Health Perspect 1997; 105:1078–1083 359 Colman AM A Dictionary of Psychology Oxford, UK: Oxford University Press, 2006 360 Schneeweiss S Sensitivity analysis and external adjustment for unmeasured confounders in epidemiologic database studies of therapeutics Pharmacoepidemiol Drug Safety 2006; 15:291–303 361 Rothman KJ A pictorial representation of confounding in epidemiologic studies J Chronic Dis 1975; 28:101–108 362 Reintjes R et al Simpson’s paradox: an example from hospital epidemiology Epidemiology 2000; 11:1–3 363 Berkman LF, Kawachi I Social Epidemiology New York: Oxford University Press, 2000 364 Marmot M, Wilkinson RG Social Determinants of Health 2nd ed New York: Oxford University Press, 2005 365 Krieger N Sticky webs, hungry spiders, buzzing flies, and fractal metaphors: on the misleading juxtaposition of “risk factor” versus “social” epidemiology J Epidemiol Community Health 1999; 53:678–680 366 Berkman LF, Breslow L Health and Ways of Living: The Alameda County Study New York: Oxford University Press, 1983 367 Galobardes B, Lynch J, Davey-Smith G Measuring socioeconomic position in health research Br Med Bull 2007; 81–82:21–37 368 Alexander F Estimation of sojourn time distributions and false negative rates in screening programmes which use two modalities Stat Med 1989; 8:743–755 369 Ransohoff DF, Feinstein AR Problems of spectrum and bias in evaluating the efficacy of diagnostic tests N Engl J Med 1978; 299:926–930 370 Mulherin SA, Miller WC Spectrum bias or spectrum effect? Subgroup variation in diagnostic test evaluation Ann Intern Med 2002; 137:598–602 371 Bossuyt PM, Reitsma JB, Bruns DE, et al Towards complete and accurate reporting of studies of diagnostic accuracy: the STARD initiative BMJ 2003; 326:41–44 372 Leeflang M, Reitsma J, Scholten R, et al Impact of adjustment for quality on results of metaanalyses of diagnostic accuracy Clin Chem 2007; 53:164–172 373 Von Elm E, Altman D, Egger M, et al Strengthening the reporting of observational studies in epidemiology: the STROBE statement Prev Med 2007;45:247–251 374 Centers for Disease Control Comprehensive Plan for Epidemiologic Surveillance Atlanta, GA: CDC, 1996 375 Estève J, Benhamou E, Croasdale M, Raymond L Relative survival and the estimation of net survival: elements for further discussion Stat Med 1990; 9:529–538 376 Vineis P Individual susceptibility to carcinogens Oncogene 2004; 23:6477–6483 377 Hirschhorn JN, Lohmueller K, Byrne E, Hirschhorn K A comprehensive review of genetic association studies Genet Med 2002; 4:45–61 378 Zolg W The proteomic search for diagnostic biomarkers: lost in translation? Mol Cell Proteomics 2006; 5:1720–1726 289 References 379 Torrance GW The measurement of health status utilities for economic appraisal A review J Health Economics 1986; 5:1–30 380 Townsend P, Phillimore P, Beattie A Health and Deprivation: Inequality and the North London: Croom Helm, 1988 381 Kessner DM, Snow CK, Singer J Assessment of Medical Care for Children Washington DC: National Academy of Sciences, Institute of Medicine, 1974 382 Transdisciplinarity Stimulating Synergies, Integrating Knowledge Paris: UNESCO, 1998 http://unesdoc.unesco.org/images/0011/001146/114694eo.pdf 383 Des Jarlais DC, Lyles C, Crepaz N TREND Group Improving the reporting quality of nonrandomized evaluations of behavioral and public health interventions: the TREND statement Am J Public Health 2004; 94:361–366 384 http://www.who.int/mediacentre/factsheets/fs104/en 385 Porter JDH, McAdam KPWJ The re-emergence of tuberculosis Annu Rev Public Health 1994; 15:303–323 386 Webb EJ, Campbell DT, Schwartz RD, Sechrest L Unobtrusive Measures Chicago: Rand McNally, 1966 387 Khoury MJ Human Genome Epidemiology A Scientific Foundation for Using Genetic Information to Improve Health and Prevent Disease New York: Oxford University Press, 2003 388 Chandramohan D, Maude GH, Rodriques LC, Hayes RJ Verbal autopsies for adult deaths: Issues in their development and validation Int J Epidemiol 1994; 23:213–230 389 Von Neumann J, Morgenstern O Theory of Games and Economic Behavior Princeton, NJ: Princeton University Press, 1944 390 Dawber TR, Kannel WB, Revotskie N, et al Some factors associated with the development of coronary heart disease: six years’ follow-up experience in the Framingham study Am J Public Health 1959; 49:1349–1356 391 MacMahon B, Pugh TF, Ipsen J Epidemiologic Methods Boston: Little, Brown, 1960 392 Zelen M The randomization and stratification of patients to clinical trials J Chronic Dis 1974; 27:365–373 393 Robins JM The Analysis of randomized and non-randomized AIDS treatment trials using a new approach to causal inference in longitudinal studies Health Service Research Methodology: A Focus on AIDS In: Sechrest L, Freeman H, Mulley A, eds Washington, DC: U.S Public Health Service, National Center for Health Services Research, 1989; 113–159 394 Robins JM, Hernán MA Estimation of the causal effects of time-varying exposures In: Fitzmaurice G, Davidian M, Verbeke G, Molenberghs G, eds Advances in Longitudinal Data Analysis New York: Chapman and Hall/CRC Press, 2008 395 Norman G, Description and prescription in dictionaries of scientific terms Int J Lexicography 2002; 15:259–276 [...]... Diana Petitti Sierra Madre, California, USA Aileen Plant Perth, Western Australia, Australia Miquel Porta Barcelona, Catalonia, Spain Zoran Radovanovic Safat, Kuwait and Belgrade, Yugoslavia Mati Rahu Tallinn, Estonia Gloria Ramirez Santiago de Chile, Chile Jose Rigau Atlanta, Georgia, USA Chris Rissell Sydney, New South Wales, Australia Ken Rothman Boston, Massachusetts, USA Contributors Michael Ryan... Illinois, USA Abby Lippman Montreal, Quebec, Canada Irvine Loudon Oxford, England, UK Shi Luyan Wuhan, China Johan Mackenbach Rotterdam, Netherlands Ahmid Mandil Dammam, Saudi Arabia Arturo Martí-Carvajal Valencia, Venezuela John McCallum Canberra, ACT, Australia Ian McDowell Ottawa, Ontario, Canada Contributors Robert McKeown Columbia, South Carolina, USA Rick McLean Melbourne, Victoria, Australia Tony... USA Maurice King Leeds, England, UK Tord Kjellström Auckland, New Zealand Dan Krewski Ottawa, Ontario, Canada Nino Künzli Barcelona, Catalonia, Spain Diana Kuh London, England, UK Chandrakant Lahariya, New Delhi, India Stephen Lambert Melbourne, Victoria, Australia Henk Lamberts Amsterdam, Netherlands Ron Laporte Pittsburgh, Pennsylvania, USA John Last Ottawa, Ontario, Canada Diana Lauderdale Chicago,... Oakland, California, USA B Burt Gerstman San Jose, California, USA Alan Gibbs Manchester, England, UK Philippe Grandjean Odense, Denmark xxii Nicola Grandy Paris, France Sander Greenland Los Angeles, California, USA Duane Gubler Atlanta, Georgia, USA Charles Guest Canberra, ACT, Australia Tee Guidotti Washington, DC, USA Gordon Guyatt Hamilton, Ontario, Canada Philip Hall Winnipeg, Manitoba, Canada... Edmonton, Alberta, Canada Bob Spasoff Ottawa, Ontario, Canada Hans Storm Copenhagen, Denmark David Streiner Hamilton, Ontario, Canada Ezra Susser New York, New York, USA Mervyn Susser New York, New York, USA Kazuo Tajima Nagoya, Japan José A Tapia Ann Arbor, Michigan, USA xxiv Michel Thuriaux Geneva, Switzerland Karen Trollope-Kumar Hamilton, Ontario, Canada Elena Tschishowa Berlin, Germany Jan Vandenbroucke... McMichael Canberra, Australia Curtis Meinert Baltimore, Maryland, USA Jaime Miranda London, England, UK David Moher Ottawa, Ontario, Canada Alfredo Morabia New York, New York, USA Salah Mostafa Cairo, Egypt Norman Noah London, England, UK Patricia O’Campo Baltimore, Maryland, USA Jørn Olsen Aarhus, Denmark Nigel Paneth Ann Arbor, Michigan, USA Skip Payne Tiffin, Ohio, USA Neil Pearce Wellington, New Zealand... Anders Ahlbom Stockholm, Sweden Mohamed Farouk Allam Córdoba, Spain Álvaro Alonso Minneapolis, Minnesota, USA Douglas Altman London, England, UK Janet Byron Anderson Rocky River, Ohio, USA Kunio Aoki Nagoya, Japan Haroutune Armenian Baltimore, Maryland, USA, and Yerevan, Armenia Mary Jane Ashley Toronto, Ontario, Canada John Bailar III Chicago, Illinois, USA Michael Baker Wellington, New Zealand Olga Basso... Bruce Ames and colleagues at the University of California, Berkeley See carcinogen Analysis of variance (ANOVA) 6 ANALYSIS OF VARIANCE (ANOVA) A statistical technique that isolates and assesses the contribution of categorical independent variables to the variance of the mean of a continuous dependent variable The observations are classified according to their categories for each of the independent variables,... Boniface London, England, UK Knut Borch-Johnsen Horsholm, Denmark Ric Bouvier Kew, Victoria, Australia Annette Braunack-Mayer Adelaide, South Australia, Australia Clive Brown Port of Spain, Trinidad and Tobago Ross Brownson St Louis, Missouri, USA Jim Butler Canberra, ACT, Australia Lee Caplan Atlanta, Georgia, USA Iain Chalmers Oxford, England, UK Yue Chen Ottawa, Ontario, Canada Bernard Choi Ottawa,... Research Triangle Park, North Carolina, USA Michael Wolfson Ottawa, Ontario, Canada Hiroshi Yanagawa Jiichi, Japan Kue Young Winnipeg, Manitoba, Canada A Dictionary of Epidemiology This page intentionally left blank A ABATEMENT The process of reducing or minimizing public health dangers and nuisances, usually supported by regulation or legislation; e.g., noise abatement, pollution abatement ABC APPROACH ... Mackenbach Rotterdam, Netherlands Ahmid Mandil Dammam, Saudi Arabia Arturo Martí-Carvajal Valencia, Venezuela John McCallum Canberra, ACT, Australia Ian McDowell Ottawa, Ontario, Canada Contributors... Porta Barcelona, Catalonia, Spain Zoran Radovanovic Safat, Kuwait and Belgrade, Yugoslavia Mati Rahu Tallinn, Estonia Gloria Ramirez Santiago de Chile, Chile Jose Rigau Atlanta, Georgia, USA Chris... Australia, Australia Alan Hinman Decatur, Georgia, USA Walter Holland London, England, UK Mar a- Graciela Hollm-Delgado Montreal, Quebec, Canada D’Arcy Holman Perth, Western Australia, Australia Ernest

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