Sample size estimation for stratified individual and cluster randomized trials with binary outcomes-Reference-Cited by-同舟云学术

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Sample size estimation for stratified individual and cluster randomized trials with binary outcomes

Published:2020-05-15 Issue:10 Volume:39 Page:1489-1513
ISSN:0277-6715
Container-title:Statistics in Medicine
language:en
Short-container-title:Statistics in Medicine

Author:

Kennedy‐Shaffer Lee¹^ORCID,Hughes Michael D.¹

Affiliation:

1. Department of BiostatisticsHarvard T.H. Chan School of Public Health Boston Massachusetts

Funder

National Institute of Allergy and Infectious Diseases

Publisher

Wiley

Subject

Statistics and Probability,Epidemiology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/sim.8492

Reference50 articles.

1. Some Surprising Results about Covariate Adjustment in Logistic Regression Models

2. Sample size determination for logistic regression revisited

3. Covariate adjustment in randomized controlled trials with dichotomous outcomes increases statistical power and reduces sample size requirements

4. The risks and rewards of covariate adjustment in randomized trials: an assessment of 12 outcomes from 8 studies

5. Baseline characteristics and statistical power in randomized controlled trials: Selection, prognostic targeting, or covariate adjustment?*

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1. A pilot randomised controlled trial assessing standard versus dermal patch-augmented rotator cuff repair found no adverse effects and suggest future trials need a minimum of 150 patients;Knee Surgery, Sports Traumatology, Arthroscopy;2023-03-02

2. The required size of cluster randomized trials of nonpharmaceutical interventions in epidemic settings;Statistics in Medicine;2022-03-07

3. Power and sample size calculations for cluster randomized trials with binary outcomes when intracluster correlation coefficients vary by treatment arm;Clinical Trials;2021-12-08

4. Allowing for stratification in sample size planning of two-arm trials with continuous or binary outcome: Overview and tutorial;Statistical Methods in Medical Research;2021-12-08

5. Methods for dealing with unequal cluster sizes in cluster randomized trials: A scoping review;PLOS ONE;2021-07-29

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