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Applied longitudinal data analysis for medical science : a practical guide / Jos W.R. Twisk.

館藏資訊

摘要註

"In this book the most important methods available for longitudinal data analysis are discussed. This discussion includes simple methods such as the paired t-test and summary statistics, and also more sophisticated methods such as generalized estimating equations and mixed model analysis. A distinction is made between longitudinal data analysis with continuous, dichotomous, categorical and other outcome variables"--

內容註

Continuous outcome variables -- Continuous outcome variables : regression based methods -- Modelling of time -- Models to disentangle the between-and within-subjects relationship -- Causality in observational longitudinal studies -- Dichotomous outcome variables -- Categorical and count outcome variables -- Outcome variables with floor or ceiling effects -- Analysis of longitudinal intervention studies -- Missing data in longitudinal studies -- Sample size calculations -- Software for longitudinal data analysis.

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