Sensitivity analysis in multiple imputation in effectiveness studies of psychotherapy.

ABSTRACT: The importance of preventing and treating incomplete data in effectiveness studies is nowadays emphasized. However, most of the publications focus on randomized clinical trials (RCT). One flexible technique for statistical inference with missing data is multiple imputation (MI). Since methods such as MI rely on the assumption of missing data being at random (MAR), a sensitivity analysis for testing the robustness against departures from this assumption is required. In this paper we present a sensitivity analysis technique based on posterior predictive checking, which takes into consideration the concept of clinical significance used in the evaluation of intra-individual changes. We demonstrate the possibilities this technique can offer with the example of irregular longitudinal data collec

SUBMITTER: Crameri A 

PROVIDER: S-EPMC4515885 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature