Methods for comparative effectiveness based on time to confirmed disability progression with irregular observations in multiple sclerosis.

ABSTRACT: Real-world data sources offer opportunities to compare the effectiveness of treatments in practical clinical settings. However, relevant outcomes are often recorded selectively and collected at irregular measurement times. It is therefore common to convert the available visits to a standardized schedule with equally spaced visits. Although more advanced imputation methods exist, they are not designed to recover longitudinal outcome trajectories and typically assume that missingness is non-informative. We, therefore, propose an extension of multilevel multiple imputation methods to facilitate the analysis of real-world outcome data that is collected at irregular observation times. We illustrate multilevel multiple imputation in a case study evaluating two disease-modifying therapies for mul

SUBMITTER: Debray TP 

PROVIDER: S-EPMC10500950 | biostudies-literature | 2023 Jul

REPOSITORIES: biostudies-literature