Comprehensive implementations of multiple imputation using retrieved dropouts for continuous endpoints.

ABSTRACT:

Background

In the metabolic disease area, there has been a long-time debate against using mixed models for repeated measures (MMRM) as the primary analysis of longitudinal continuous endpoints. As missing data arising from missing not at random assumptions are not addressed in MMRM, multiple imputation based on specific assumptions has been brought into play. Among many missing not at random assumptions with varying degrees of conservativeness, multiple imputation based on retrieved dropouts (MIRD) has been accepted by regulatory agencies in several type 2 diabetes and chronic weight management products in recent years, marking the beginning of a new standard for analysis of longitudinal data in this disease area.

Methods

On top of the established MIRD approach of which the

SUBMITTER: Wang S 

PROVIDER: S-EPMC11846319 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature