Power of a randomization test in a single case multiple baseline AB design. [PDF]
PLoS ONE, 2020 A randomization test can be used to statistically test hypotheses in multiple baseline designs to complement the commonly used visual inspection analysis. A crossed factor simulation study was performed to investigate the power of a randomization test in
Samantha Bouwmeester, Joran Jongerling
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Using the global randomization test as a Mendelian randomization falsification test for the exclusion restriction assumption. [PDF]
Eur J EpidemiolMendelian randomization may give biased causal estimates if the instrument affects the outcome not solely via the exposure of interest (violating the exclusion restriction assumption).
Millard LAC, Davey Smith G, Tilling K.
europepmc +2 more sources
A Conditional Randomization Test to Account for Covariate Imbalance in Randomized Experiments [PDF]
Journal of Causal Inference, 2016 We consider the conditional randomization test as a way to account for covariate imbalance in randomized experiments. The test accounts for covariate imbalance by comparing the observed test statistic to the null distribution of the test statistic ...
Hennessy Jonathan +4 more
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Assessing allocation bias in stratified clinical trials with multi-component endpoints evaluated using the stratified Wei-Lachin test. [PDF]
PLoS ONEBackgroundA common issue in rare disease stratified clinical trials with multi-component endpoints is allocation bias, as they frequently lack blinding.
Stefanie Schoenen +2 more
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Randomization across breeding cohorts improves the accuracy of conventional and genomic selection [PDF]
The Plant GenomeBreeding programs conventionally evaluate cohorts in separate trials; however, environmental differences across testing areas can be confounded with genetic differences between cohorts, potentially reducing the accuracy of breeding value estimation.
Arlyn Ackerman, Jessica Rutkoski
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What is a Randomization Test? [PDF]
Journal of the American Statistical Association, 2022 The meaning of randomization tests has become obscure in statistics education and practice over the last century. This article makes a fresh attempt at rectifying this core concept of statistics.
Yao Zhang, Qingyuan Zhao
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An approximate randomization test for the high-dimensional two-sample Behrens–Fisher problem under arbitrary covariances [PDF]
Biometrika, 2021 This paper is concerned with the problem of comparing the population means of two groups of independent observations. An approximate randomization test procedure based on the test statistic of? is proposed.
Rui Wang, Wang-li Xu
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Comparison of Seven Non-Linear Mixed Effect Model-Based Approaches to Test for Treatment Effect
Pharmaceutics, 2023 Analyses of longitudinal data with non-linear mixed-effects models (NLMEM) are typically associated with high power, but sometimes at the cost of inflated type I error.
Estelle Chasseloup, Mats O. Karlsson
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Testing Randomness Online [PDF]
Statistical Science, 2021 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Leveraging the Fisher randomization test using confidence distributions: Inference, combination and fusion learning [PDF]
Journal of the Royal Statistical Society: Series B (Statistical Methodology), 2020 The flexibility and wide applicability of the Fisher randomization test (FRT) make it an attractive tool for assessment of causal effects of interventions from modern‐day randomized experiments that are increasing in size and complexity.
Xiaokang Luo +3 more
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