Covariate-Constrained Randomization

This Guide to Statistics and Methods provides an overview of the covariate-constrained randomization design, which can achieve improved control over large imbalances across study arms at the cluster level over simpler methods of randomization.

Authors

Jody D. Ciolino (ORCID: https://orcid.org/0000-0002-9060-5657)
Lauren C. Balmert (ORCID: https://orcid.org/0000-0001-5476-4514)
Jacob M. Schauer (ORCID: https://orcid.org/0000-0002-9041-7082)

Institutions

Northwestern University (US)

Publication Details

Journal: JAMA Internal Medicine
Published: 2025-06-30
DOI: https://doi.org/10.1001/jamainternmed.2025.2566
Citations: 1
Primary Topic: Statistical Methods in Clinical Trials
Type: article
Field-Weighted Citation Impact: 2.63

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article

Covariate-Constrained Randomization

Jody D. Ciolino, Lauren C. Balmert, Jacob M. Schauer

Jun 30, 2025

1 citations

JAMA Internal Medicine

Statistical Methods in Clinical Trials

2.63

article

Covariate-Constrained Randomization

Jody D. Ciolino, Lauren C. Balmert, Jacob M. Schauer

June 30, 2025article en

1 citations

Abstract

JAMA Internal MedicineVol. 185(9)

Northwestern University (US)

Openalex Percentile: Top 11%

Statistical Methods in Clinical Trials

2.63

DOI Source OpenAlex

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Covariate-Constrained Randomization — Jody D. Ciolino, Lauren C. Balmert, et al. · JAMA Internal Medicine (2025) | TGRS Research Map | TGRS