Inference Under Covariate-Adaptive Randomization
DOI10.1080/01621459.2017.1375934zbMath1409.62094OpenAlexW3125732769WikidataQ92582477 ScholiaQ92582477MaRDI QIDQ3121569
Ivan A. Canay, Federico A. Bugni, Azeem M. Shaikh
Publication date: 20 March 2019
Published in: Journal of the American Statistical Association (Search for Journal in Brave)
Full work available at URL: http://europepmc.org/articles/pmc6425946
permutation testrandomized controlled trialcovariate-adaptive randomizationtwo-sample \(t\)-testEfron's biased-coin designstratified block randomization
Nonparametric hypothesis testing (62G10) Design of statistical experiments (62K99) Statistical sampling theory and related topics (62D99)
Related Items (19)
Cites Work
- Exact and asymptotically robust permutation tests
- Rerandomization to improve covariate balance in experiments
- Asymptotic properties of covariate-adaptive randomization
- The adaptive biased coin design for sequential experiments
- Randomization in Clinical Trials
- A theory for testing hypotheses under covariate-adaptive randomization
- Channeling Fisher: Randomization Tests and the Statistical Insignificance of Seemingly Significant Experimental Results*
- Inference under covariate‐adaptive randomization with multiple treatments
- Causal Inference for Statistics, Social, and Biomedical Sciences
- Interference Between Units in Randomized Experiments
- Forcing a sequential experiment to be balanced
- The Large-Sample Power of Tests Based on Permutations of Observations
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