Comparing MTI randomization procedures to blocked randomization-Reference-Cited by-同舟云学术

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Comparing MTI randomization procedures to blocked randomization

Published:2015-09-03 Issue:5 Volume:35 Page:685-694
ISSN:0277-6715
Container-title:Statistics in Medicine
language:en
Short-container-title:Statist. Med.

Author:

Berger Vance W.¹²,Bejleri Klejda³,Agnor Rebecca⁴

Affiliation:

1. Biometry Research Group; National Cancer Institute; 9609 Medical Center Drive Rockville 20850 MD U.S.A.

2. University of Maryland, Baltimore County; Baltimore MD U.S.A.

3. Department of Biological Statistics and Computational Biology; Cornell University; Ithaca 14853 NY U.S.A.

4. Department of Biostatistics; Gillings School of Global Public Health, University of North Carolina-Chapel Hill; Chapel Hill 27599 NC U.S.A.

Publisher

Wiley

Subject

Statistics and Probability,Epidemiology

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/sim.6637/fullpdf

Reference24 articles.

1. On improving research methodology in medical studies;Berger;Statistical Methods in Medical Research,2008

2. When can a clinical trial be called ‘Randomized’?;Berger;Vaccine,2003

3. Selection Bias and Covariate Imbalances in Randomized Clinical Trials

4. Do not use blocked randomization;Berger;Headache,2006

5. A better alternative to stratified permuted block design for subject randomization in clinical trials;Zhao;Statistics in Medicine,2014

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1. Steady‐state statistical properties and implementation of randomization designs with maximum tolerated imbalance restriction for two‐arm equal allocation clinical trials;Statistics in Medicine;2024-01-20

2. Balancing the Objectives of Statistical Efficiency and Allocation Randomness in Randomized Controlled Trials;Statistics in Biopharmaceutical Research;2023-09-20

3. A Comparison of Randomization Methods for Multi-Arm Clinical Trials;Statistics in Biopharmaceutical Research;2023-08-29

4. Simpson's aggregation paradox in nonparametric statistical analysis: Theory, computation, and susceptibility in public health data;Frontiers in Applied Mathematics and Statistics;2023-03-27

5. Assessing the quality of randomization methods in randomized control trials;Healthcare;2021-12

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