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Published in 2020 at "Statistics in medicine"
DOI: 10.1002/sim.8577
Abstract: Randomization-based interval estimation takes into account the particular randomization procedure in the analysis and preserves the confidence level even in the presence of heterogeneity. It is distinguished from population-based confidence intervals with respect to three…
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Keywords:
interval estimation;
randomization;
randomization based;
confidence ... See more keywords
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Published in 2017 at "Journal of Biopharmaceutical Statistics"
DOI: 10.1080/10543406.2017.1289955
Abstract: ABSTRACT Dichotomous endpoints in clinical trials have only two possible outcomes, either directly or via categorization of an ordinal or continuous observation. It is common to have missing data for one or more visits during…
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Keywords:
clinical trial;
randomization based;
sensitivity;
multi visit ... See more keywords
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Published in 2019 at "Statistical Methods in Medical Research"
DOI: 10.1177/0962280217745720
Abstract: In medical research, a scenario often entertained is randomized controlled 22 factorial design with a binary outcome. By utilizing the concept of potential outcomes, Dasgupta et al. proposed a randomization-based causal inference framework, allowing flexible…
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Keywords:
methodology;
causal inference;
randomization based;
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Published in 2017 at "Statistical Science"
DOI: 10.1214/16-sts590
Abstract: Although both Fisher’s and Neyman’s tests are for testing “no treatment effects,” they both test fundamentally different null hypotheses. While Neyman’s null concerns the average casual effect, Fisher’s null focuses on the individual causal effect.…
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Keywords:
randomization based;
treatment;
based tests;
treatment effects ... See more keywords