Comprehensive implementations of multiple imputation using retrieved dropouts for continuous endpoints

We have presented comprehensive implementations of the MIRD approach for continuous endpoints in a longitudinal setting that fully fit within the strategy of treatment policy. The proposed new class based on all observed data of RDs is proved to be as powerful as the established MIRD approach based on last on-treatment visit in most scenarios. The one-step MCMC approach is more powerful than the established MIRD approach in certain scenarios. Since the new class involves less programming derivation of additional flags, it's anticipated to be more easily implemented in clinical trial reporting.

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Publication Details

Journal
BMC Medical Research Methodology
Published
2025-02-21
DOI
https://doi.org/10.1186/s12874-025-02494-5
Citations
2
Primary Topic
Statistical Methods in Clinical Trials
Type
article
Field-Weighted Citation Impact
5.26
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article

Comprehensive implementations of multiple imputation using retrieved dropouts for continuous endpoints

Shuai Wang, Pamela F. Schwartz, James P. Mancuso
2 citations
BMC Medical Research Methodology
Statistical Methods in Clinical Trials
5.26
article

Comprehensive implementations of multiple imputation using retrieved dropouts for continuous endpoints

Shuai Wang, Pamela F. Schwartz, James P. Mancuso
article en
2 citations

Abstract

We have presented comprehensive implementations of the MIRD approach for continuous endpoints in a longitudinal setting that fully fit within the strategy of treatment policy. The proposed new class based on all observed data of RDs is proved to be as powerful as the established MIRD approach based on last on-treatment visit in most scenarios. The one-step MCMC approach is more powerful than the established MIRD approach in certain scenarios. Since the new class involves less programming derivation of additional flags, it's anticipated to be more easily implemented in clinical trial reporting.

BMC Medical Research MethodologyVol. 25(1)
Pfizer (United States) (US)
Good health and well-being
Openalex Percentile: Top 6%
Statistical Methods in Clinical Trials
5.26
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