EPID 766: Analysis of Longitudinal Data from ... - NCSU Statistics

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CHAPTER 1 Epid 766, D. Zhang • Stage II: 1. Try to compare E(b0) and E(b1) between males and females. 2. Try to compare var(b0) and var(b1) between males and females. 3. Try to examine the effects of age and sex on b0 using � b0 = α0 + α1sex + α2age + e0. Technically, we should use b0 instead of � b0. However, � b0 is an unbiased estimate of b0 (and b0 is not observable), so using � b0 is valid. 4. Try to examine the effects of age and sex on b1 using � b1 = β0 + β1sex + β2age + e1. Similar to the above argument, using � b1 here is valid. Graduate Summer Session in Epidemiology Slide 38
CHAPTER 1 Epid 766, D. Zhang SAS program for stage II: title "Test equality of mean and variance of intercepts and slopes between sexes"; proc ttest; class sex; var b0hat b1hat; run; title "Regression to look at the association between intercept and age, sex"; proc reg data=main; model b0hat = age sex; run; title "Regression to look at the association between slope and age, sex"; proc reg data=main; model b1hat = age sex; run; Graduate Summer Session in Epidemiology Slide 39
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EPID 766: Analysis of Longitudinal Data from ... - NCSU Statistics

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