Improving analysis of cognitive outcomes in cardiovascular trials using different statistical approaches.

ABSTRACT:

Background

The Mini-Mental State Examination (MMSE) and the Montreal Cognitive Assessment (MoCA) questionnaires are commonly used to measure global cognition in clinical trials. Because these scales are discrete and bounded with ceiling and floor effects and highly skewed, their analysis as continuous outcomes presents challenges. Normality assumptions of linear regression models are usually violated, which may result in failure to detect associations with variables of interest.

Methods

Alternative approaches to analyzing the results of these cognitive batteries include transformations (standardization, square root, or log transformation) of the scores in the multivariate linear regression (MLR) model, the use of nonlinear beta-binomial regression (which is not dependent on

SUBMITTER: Lee SF 

PROVIDER: S-EPMC11446089 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature