Premium
Handling of baseline measurements in the analysis of crossover trials
Author(s) -
Chen Xun,
Meng Zhaoling,
Zhang Ji
Publication year - 2012
Publication title -
statistics in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.996
H-Index - 183
eISSN - 1097-0258
pISSN - 0277-6715
DOI - 10.1002/sim.4466
Subject(s) - baseline (sea) , crossover , estimator , statistics , crossover study , inference , computer science , correlation , econometrics , mathematics , medicine , artificial intelligence , placebo , oceanography , alternative medicine , geometry , pathology , geology
Different analytic approaches for modeling baseline data in crossover trials were compared based on the efficiency in estimating treatment effects. Jointly modeling baseline and post‐baseline data is recommended to best utilize baseline data. It results in the most significant gain in efficiency when data are strongly correlated within the same period but weakly correlated between different periods. Its performance remains comparable to the best of various other modeling methods under small within period correlation or large between period correlation. We also examined the use of baseline data in modeling carryover effect. We noted that to model carryover effect in crossover trial generally would lead to a much less efficient estimator and much more sensitive inference. Copyright © 2012 John Wiley & Sons, Ltd.