Analyzing Longitudinal Clinical Trial Data

<p><strong>Analyzing Longitudinal Clinical Trial Data: A Practical Guide</strong> provides practical and easy to implement approaches for bringing the latest theory on analysis of longitudinal clinical trial data into routine practice.The book with its example-oriented approach that includes numerous SAS and R code fragments is an essential resource for statisticians and graduate students specializing in medical research. </p><p></p><p>The authors provide clear descriptions of the relevant statistical theory and illustrate practical considerations for modeling longitudinal data. Topics covered include choice of endpoint and statistical test; modeling means and the correlations between repeated measurements; accounting for covariates; modeling categorical data; model verification; methods for incomplete (missing) data that includes the latest developments in sensitivity analyses along with approaches for and issues in choosing estimands; and means for preventing missing data. Each chapter stands alone in its coverage of a topic. The concluding chapters provide detailed advice on how to integrate these independent topics into an over-arching study development process and statistical analysis plan.</p>