Handling of missing component information for common composite score outcomes used in axial spondyloarthritis research when complete-case analysis is unbiased.

ABSTRACT:

Background

Observational data on composite scores often comes with missing component information. When a complete-case (CC) analysis of composite scores is unbiased, preferable approaches of dealing with missing component information should also be unbiased and provide a more precise estimate. We assessed the performance of several methods compared to CC analysis in estimating the means of common composite scores used in axial spondyloarthritis research.

Methods

Individual mean imputation (IMI), the modified formula method (MF), overall mean imputation (OMI), and multiple imputation of missing component values (MI) were assessed either analytically or by means of simulations from available data collected across Europe. Their performance in estimating the means of the Bath An

SUBMITTER: Polysopoulos C 

PROVIDER: S-EPMC11869558 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature