A comparison of methods for analysing multiple outcome measures in randomised controlled trials using a simulation study.

ABSTRACT: Multiple primary outcomes are sometimes collected and analysed in randomised controlled trials (RCTs), and are used in favour of a single outcome. By collecting multiple primary outcomes, it is possible to fully evaluate the effect that an intervention has for a given disease process. A simple approach to analysing multiple outcomes is to consider each outcome separately, however, this approach does not account for any pairwise correlations between the outcomes. Any cases with missing values must be ignored, unless an additional imputation step is performed. Alternatively, multivariate methods that explicitly model the pairwise correlations between the outcomes may be more efficient when some of the outcomes have missing values. In this paper, we present an overview of relevant methods tha

SUBMITTER: Vickerstaff V 

PROVIDER: S-EPMC7984364 | biostudies-literature | 2021 Mar

REPOSITORIES: biostudies-literature