Results 11 to 20 of about 19,442,486 (302)
Classical Conditioning for Pain: The Development of a Customized Single-Case Experimental Design
Journal of Trial and Error, 2022 Single-case experiments are increasingly popular in the behavioral sciences. Due to their flexibility, single-case designs can be customized to test a variety of experimental hypotheses.
Tamal Kumar De +3 more
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Randomized Quasi-Random Testing [PDF]
IEEE Transactions on Computers, 2016 Random testing is a fundamental testing technique that can be used to generate test cases for both hardware and software systems. Quasi-random testing was proposed as an enhancement to the cost-effectiveness of random testing: In addition to having similar computation overheads to random testing, it makes use of quasi-random sequences to generate low ...
Huai Liu, Tsong Yueh Chen
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Log-rank and stratified log-rank tests
Statistical Theory and Related Fields, 2023 In randomized clinical trials with right-censored time-to-event outcomes, the popular log-rank test without adjusting for baseline covariates is asymptotically valid for treatment effect under simple randomization of treatments but is too conservative ...
Ting Ye, Jun Shao, Yanyao Yi
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Journal of Modern Applied Statistical Methods, 2020 Detailed is a 20-year arduous journey to develop a statistically viable two-phase (AB) single-case two independent-samples randomization test procedure.
J. Levin, J. Ferron, Boris S. Gafurov
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A roadmap to using randomization in clinical trials
BMC Medical Research Methodology, 2021 Background Randomization is the foundation of any clinical trial involving treatment comparison. It helps mitigate selection bias, promotes similarity of treatment groups with respect to important known and unknown confounders, and contributes to the ...
Vance W. Berger +13 more
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Nonparametric Inference for Multivariate Data: The R Package npmv
Journal of Statistical Software, 2017 We introduce the R package npmv that performs nonparametric inference for the comparison of multivariate data samples and provides the results in easy-to-understand, but statistically correct, language.
Woodrow W. Burchett +3 more
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Evaluating Domain Randomization in Deep Reinforcement Learning Locomotion Tasks
Mathematics, 2023 Domain randomization in the context of Reinforcement learning (RL) involves training RL agents with randomized environmental properties or parameters to improve the generalization capabilities of the resulting agents.
Oladayo S. Ajani +2 more
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Nature Genetics, 2018 Horizontal pleiotropy occurs when the variant has an effect on disease outside of its effect on the exposure in Mendelian randomization (MR). Violation of the ‘no horizontal pleiotropy’ assumption can cause severe bias in MR.
M. Verbanck +3 more
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rich: An R Package to Analyse Species Richness
Diversity, 2011 The paper describes rich, a new R package to perform species richness estimation and comparison. Species richness is the simplest surrogate for the more complex concept of species biodiversity.
Jean-Pierre Rossi
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Detection of density-dependent effects on caribou numbers from a series of census data
Rangifer, 1991 The main objective of this paper is to review and discuss the applicability of statistical procedures for the detection of density dependence based on a series of annual or multi-annual censuses.
Francois Messier
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