Seven key steps to cook up a sample size -- Sample sizes for parallel group superiority trials with normal data -- Sample size calculations for superiority cross-over trials with normal data -- Sample size calculations for equivalence clinical trials with normal data -- Sample size calculations for non-inferiority clinical trials with normal data -- Sample size calculations for bioequivalence trials -- Sample size calculations for precision clinical trials with normal data -- Sample size calculations for parallel group superiority clinical trials with binary data -- Sample size calculations for superiority cross-over clinical trials with binary data -- Sample size calculations for non-inferiority trials with binary data -- Sample size calculations for equivalence trials with binary data -- Sample size calculations for precision trials with binary data -- Sample size calculations for clinical trials with ordinal data -- Sample size calculations for clinical trials with survival data.
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"Drawing on various real-world applications, Sample Sizes for Clinical Trials takes readers through the process of calculating sample sizes for many types of clinical trials. It provides descriptions of the calculations with a practical emphasis." "Focusing on normal, binary, ordinal, and survival data, the book explores a range of trials, including superiority, equivalence, non-inferiority, bioequivalence, and precision for both parallel group and cross-over designs. The author discusses how trial objectives impact the study design with respect to the derivation of formulae for sample size calculations. He uses real-life studies throughout to show how the concepts and calculations can be employed."--Jacket.