Adjusting for covariates in randomized clinical trials for drugs and biological products

In May 2023, the US Food and Drug Administration released a guidance document on adjusting for covariates in randomized clinical trials for drugs and biological products. This article provides a summary of motivations for the US Food and Drug Administration guidance document, recommendations in the guidance document, considerations for covariate adjustment in large trials and small trials, and additional topics beyond the scope of the guidance document that may benefit from greater consensus on best practices. A covariate-adjusted prespecified primary analysis can have advantages over an unadjusted analysis and is generally acceptable to the US Food and Drug Administration.

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Publication Details

Journal
Clinical Trials
Published
2025-12-31
DOI
https://doi.org/10.1177/17407745251405770
Primary Topic
Statistical Methods in Clinical Trials
Type
article
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article

Adjusting for covariates in randomized clinical trials for drugs and biological products

Daniel Rubin
Clinical Trials
Statistical Methods in Clinical Trials
article

Adjusting for covariates in randomized clinical trials for drugs and biological products

Daniel Rubin
article en

Abstract

In May 2023, the US Food and Drug Administration released a guidance document on adjusting for covariates in randomized clinical trials for drugs and biological products. This article provides a summary of motivations for the US Food and Drug Administration guidance document, recommendations in the guidance document, considerations for covariate adjustment in large trials and small trials, and additional topics beyond the scope of the guidance document that may benefit from greater consensus on best practices. A covariate-adjusted prespecified primary analysis can have advantages over an unadjusted analysis and is generally acceptable to the US Food and Drug Administration.

Clinical Trials
Center for Drug Evaluation and Research (US)
Zero hunger
Openalex Percentile: Top 22%
Statistical Methods in Clinical Trials
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