Randomization tests in clinical trials with multiple imputation for handling missing data. Issue 3 (4th May 2022)

• Record Type: Journal Article
• Authors: Ivanova, Anastasia; Lederman, Seth; Stark, Philip B.; Sullivan, Gregory; Vaughn, Ben
• Is Part Of: Journal of biopharmaceutical statistics. Volume 32:Issue 3(2022)
• Page Start: 441
• Page End: 449
• Publication Date: 2022-05-04
• Subjects: Analyze as you randomize -- Fisher's combination -- minimization -- multiple imputation -- nonparametric combination of tests -- randomization -- re-randomization test; Pharmacy -- Statistical methods -- Periodicals; Drugs -- Testing -- Statistical methods -- Periodicals; Biometry -- Periodicals; Biopharmaceutics -- Periodicals; Pharmacokinetics -- Periodicals; 615.19
• DOI: 10.1080/10543406.2022.2080695
• Languages: English
• ISSNs: 1054-3406

Abstract

ABSTRACT: Randomization-based inference is a useful alternative to traditional population model-based methods. In trials with missing data, multiple imputation is often used. We describe how to construct a randomization test in clinical trials where multiple imputation is used for handling missing data. We illustrate the proposed methodology using Fisher's combining function applied to individual scores in two post-traumatic stress disorder trials.