By Craig Mallinckrodt,Ilya Lipkovich
Analyzing Longitudinal scientific Trial facts: a realistic consultant offer sensible and simple to enforce techniques for bringing the newest idea on research of longitudinal medical trial information into regimen practice.?This publication, with its example-oriented technique that incorporates various SAS and R code fragments, is an important source for statisticians and graduate scholars focusing on clinical learn.
The authors supply transparent descriptions of the correct statistical idea and illustrate sensible concerns for modeling longitudinal facts. subject matters coated contain number of endpoint and statistical try out; modeling potential and the correlations among repeated measurements; accounting for covariates; modeling express info; version verification; tools for incomplete (missing) info that incorporates the most recent advancements in sensitivity analyses, in addition to methods for and concerns in making a choice on estimands; and potential for combating lacking facts. every one bankruptcy stands on my own in its assurance of a subject. The concluding chapters supply particular suggestion on easy methods to combine those self sufficient themes into an over-arching learn improvement strategy and statistical research plan.
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Extra info for Analyzing Longitudinal Clinical Trial Data: A Practical Guide (Chapman & Hall/CRC Biostatistics Series)
Analyzing Longitudinal Clinical Trial Data: A Practical Guide (Chapman & Hall/CRC Biostatistics Series) by Craig Mallinckrodt,Ilya Lipkovich