A Methodology for the Health Sciences - part 5 pdf
A Methodology for the Health Sciences - part 5 pdf
... Buchanan. ONE-WAY ANALYSIS OF VARIANCE 361 10.2.2 Using the Normal Distribution Model Basic Approach The one-way analysis of variance is a generalization of the t-test. As in the motivating example above, ... remaining patients are used in the analysis; if one does the analysis only on patients for whom “all data are available,” biased estimates may result. 10 .5. 2 Restoring...
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A Methodology for the Health Sciences - part 1 doc
... 9 REFERENCES Battezzati, M., Tagliaferro, A. , and Cattaneo, A. D. [1 959 ]. Clinical evaluation of bilateral internal mam- mary artery ligation as treatment of coronary heart disease. American Journal of Cardiology, ... numbers are manipulated to produce values that cannot occur for example, the average American family” has 2.1 25 children). Other quantitative variables have values that...
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A Methodology for the Health Sciences - part 2 pptx
... is from the hypothesized parameter value, the smaller the area (probability) in the tail. This tail probability is usually called the p-value. For example (using Table A. 2), the area to the right ... statistically independent random variables, then for any two constants a 1 and a 2 , the random variable W = a 1 Y 1 + a 2 Y 2 has mean and variance E(W ) = a 1 E(...
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A Methodology for the Health Sciences - part 3 pps
... +− + 8 .5 1 .5 − 47 .5 26 .5 [2] +− + 5. 50 .5 − 17 .52 1 .5 [5] +− + 1 .5 3 .5 − 5. 5 10 .5 [3] +− + 4 .54 .5 − 13 .57 7 .5 [6] +− + 1 .5 2 .5 − 3 .5 11 .5 [4] +− + 2 .51 0 .5 − 12 .56 5 .5 [7] +− + 2 .52 .5 − 12 .53 7 .5 Now ω i = (n 11 + ... cigarettes per day 54 0 45 < ;5 88 172 25 34 cigarettes per day 53 424 < ;55 055 35 44 cigarettes per day 52 724 <...
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A Methodology for the Health Sciences - part 4 pot
... before a category with K tied observations, the average rank for the k tied observations is average rank = 2J + K + 1 2 (9) For these data, the average ranks are computed as follows: KJAverage ... three approaches are modifications of the traditional mean statistic x. Of concern in computing the sample mean is the effect that an outlier will have. An observation far away from...
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A Methodology for the Health Sciences - part 6 potx
... into halves at random. One can estimate the parameters from one-half of the data and then predict the values for the remaining unused half of the data. The evaluation of the fit can be performed ... partial correlation between the variable in the model and the dependent variable when adjusting for other variables in the model. The left-hand side lists the variable...
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A Methodology for the Health Sciences - part 7 potx
... hoc analysis. Such an analysis is not explicitly planned at the start of the study but suggested by the data. Other terms associated with such analyses are data driven and subgroup analysis. Aside ... and therefore where it is desirable to aim at drawing reasonably firm conclusions from the same data as used in exploratory analysis. What statistical approaches and principles can be use...
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A Methodology for the Health Sciences - part 8 ppt
... total), calculate standardized death rates for halothane and cyclopropane. Are the standardized rates significantly different? (c) Calculate the standardized mortality rates for halothane and ... among Hispanic males. (b) Calculate the crude death rate among non-Hispanic males. (c) Compare parts (a) and (b) using an appropriate test. (d) Calculate the SMR using non-Hispanic males a...
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A Methodology for the Health Sciences - part 9 pps
... correlations. These data have a correlation for measurements that are one year apart of 0.734, 0.733, and 0.806. For measurements two years apart, the correlation decreases slightly to 0 .58 5 and 0.6 95. Finally, ... “maintain” the favorable status. Statistical inference can be based on standard two-sample methods for binary data (see Chapter 6). An analysis that summarizes curr...
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A Methodology for the Health Sciences - part 10 pps
... 0. 65 0.76 2 7. 25 6 .50 7 .50 4. 75 3. 75 2 0.77 0.79 0.84 3 5. 50 7. 25 5 .50 5. 75 8. 75 3 0.91 0.67 4 5. 25 8.00 14.30 5. 75 6 .50 A 0.82 5 10.00 8. 25 9.00 3 .50 7. 75 6 7. 25 7.00 21.30 13.00 8 .50 7 5. 75 15. 30 ... 6.16 6.07 5. 99 5. 91 5. 82 5. 74 5. 65 8 11.26 8. 65 7 .59 7.01 6.63 6.37 6.18 6.03 5. 91 5. 81 5. 67 5. 52 5. 36 5. 28 5. 20 5. 12...
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