Review : Applied Longitudinal Data Analysis for Epidemiology: A Practical Guide
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Main Features : Applied Longitudinal Data Analysis for Epidemiology: A Practical Guide
The most important techniques available for longitudinal data analysis are discussed in this book. The discussion includes simple techniques such as the paired t-test and summary statistics, but also more sophisticated techniques such as generalized estimating equations and random coefficient analysis. A distinction is made between longitudinal analysis with continuous, dichotomous, and categorical outcome variables. This practical guide is especially suitable for non-statisticians and all those undertaking medical research or epidemiological studies.
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