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

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CHAPTER 1 Epid <strong>766</strong>, D. Zhang<br />

Some remarks on two-stage analysis:<br />

1. The first stage model should be reasonably good for the second<br />

stage analysis to be valid and make sense.<br />

2. Two-stage analysis can only be used when the covariates considered<br />

are one-time covariates (fixed over time).<br />

3. Summary statistics <strong>of</strong> a time-varying covariates cannot be used in<br />

the second stage analysis because <strong>of</strong> error in variable issue.<br />

4. When the covariates considered are time-varying covariates,<br />

two-stage analysis is not appropriate. Mixed model or GEE approach<br />

can be used.<br />

5. Two-stage analysis for discrete data (binary or count data) may<br />

break down. Mixed model or GEE approach is much more<br />

appropriate.<br />

6. Although two-stage approach can be used to make inference on the<br />

quantities <strong>of</strong> interest, it is less efficient compared to the mixed<br />

Graduate Summer Session in Epidemiology Slide 46

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