Abstract
Multiple analyses in clinical trials comprise the execution and interpretation of numerous statistical hypothesis tests within a single research effort. This definition of multiple hypothesis testing encompasses combinations of analyses involving multiple endpoints, comparisons of endpoint findings among multiple treatment arms, and subgroup analyses. However, our study of multiple analyses will not begin by first considering these complex combinations of analyses, but will instead focus on one of the most commonly occurring multiple analyses circumstances in clinical trials—multiple endpoints. This chapter’s goal is to provide a paced development for how one chooses and analyzes multiple endpoints in a two-armed (control and treatment group) clinical trial. The only mathematical tool we will use is an understandable adaptation of the Bonferroni multiple comparison procedure, an adaptation which is both easy to compute and interpret.
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(2003). Multiple Analyses and Multiple Endpoints. In: Multiple Analyses in Clinical Trials. Statistics for Biology and Health. Springer, New York, NY. https://doi.org/10.1007/0-387-21813-0_5
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DOI: https://doi.org/10.1007/0-387-21813-0_5
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