Helmut Schütz, Divan A Burger, Erik Cobo, David D Dubins, Tibor Farkás, Detlew Labes, Benjamin Lang, Jordi Ocaña, Arne Ring, Anastasia Shitova, Volodymyr Stus, Michael Tomashevskiy
Comparative bioavailability studies often involve multiple groups of subjects for a variety of reasons, such as clinical capacity limitations. This raises questions about the validity of pooling data from these groups in the statistical analysis and whether a group-by-treatment interaction should be evaluated. We investigated the presence or absence of group-by-treatment interactions through both simulation techniques and a meta-study of well-controlled trials. Our findings reveal that the test falsely detects an interaction when no true group-by-treatment interaction exists...
April 17, 2024: AAPS Journal