By Craig Mallinckrodt, Ilya Lipkovich
Analyzing Longitudinal medical Trial information: a pragmatic advisor offer useful and straightforward to enforce ways for bringing the newest idea on research of longitudinal medical trial facts into regimen perform. This e-book, with its example-oriented procedure that incorporates various SAS and R code fragments, is a vital source for statisticians and graduate scholars focusing on clinical learn.
The authors supply transparent descriptions of the appropriate statistical conception and illustrate sensible issues for modeling longitudinal info. subject matters coated comprise collection of endpoint and statistical try; modeling potential and the correlations among repeated measurements; accounting for covariates; modeling specific information; version verification; tools for incomplete (missing) facts that comes with the newest advancements in sensitivity analyses, besides ways for and matters in selecting estimands; and ability for fighting lacking info. every one bankruptcy stands by myself in its assurance of an issue. The concluding chapters offer special recommendation on easy methods to combine those autonomous themes into an over-arching research improvement approach and statistical research plan.
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Extra info for Analyzing Longitudinal Clinical Trial Data: A Practical Guide
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