The optimal pre-post allocation for randomized clinical trials.

ABSTRACT:

Background

In pre-post designs, analysis of covariance (ANCOVA) is a standard technique to detect the treatment effect with a continuous variable measured at baseline and follow-up. For measurements subject to a high degree of variability, it may be advisable to repeat the pre-treatment and/or follow-up assessments. In general, repeating the follow-up measurements is more advantageous than repeating the pre-treatment measurements, while the latter can still be valuable and improve efficiency in clinical trials.

Methods

In this article, we report investigations of using multiple pre-treatment and post-treatment measurements in randomized clinical trials. We consider the sample size formula for ANCOVA under general correlation structures with the pre-treatment mean included as

SUBMITTER: Ma S 

PROVIDER: S-EPMC10045175 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature