Multiplicity Adjustment Methods
Thomas Brechenmacher (QuintilesIMS)
Alex Dmitrienko (Mediana)
5.3 Procedures with a data-driven hypothesis ordering
5.4 Procedures with a prespecified hypothesis ordering
This chapter discusses statistical strategies for handling multiplicity issues arising in clinical trials with several clinical objectives. It defines commonly used multiplicity adjustments, including basic single-step testing methods, as well as more advanced stepwise methods relying on data-driven or pre-specified hypothesis ordering. The chapter also reviews gatekeeping testing strategies used in more advanced ...
Get Analysis of Clinical Trials Using SAS, 2nd Edition now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.