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Statistical Evaluation of Clinical Trials Under COVID-19 Pandemic

Autor: Wei Zhang, Shein-Chung Chow

Publikováno v: Therapeutic Innovation & Regulatory Science

When conducting clinical trials under COVID-19 pandemic, protocol deviations and/or protocol violations are inevitably encountered due to possible environment change which may have an impact on the accuracy and reliability of clinical evaluation of t

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a353d1dc843a1a17257f9d57fb45e3bc
http://europepmc.org/articles/PMC7313653

Introducing nonparametric predictive inference methods for reproducibility of likelihood ratio tests

Autor: Tahani Coolen-Maturi, Frank P. A. Coolen, Filipe J. Marques

Publikováno v: Repositório Científico de Acesso Aberto de Portugal
Repositório Científico de Acesso Aberto de Portugal (RCAAP)
instacron:RCAAP
Journal of statistical theory and practice, 2019, Vol.13, pp.15 [Peer Reviewed Journal]

This paper introduces the nonparametric predictive inference approach for reproducibility of likelihood ratio tests. The general idea of this approach is outlined for tests between two simple hypotheses, followed by an investigation of reproducibilit

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d65b8df59f03cb97c0b9ca168ebf1c23

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On stochastic orderings of the Wilcoxon Rank Sum test statistic—With applications to reproducibility probability estimation testing

Autor: Daniele De Martini, L De Capitani

Publikováno v: Statistics & Probability Letters. 81:937-946

Recently, the possibility of testing statistical hypotheses through the estimate of the reproducibility probability (i.e. the estimate of the power of the statistical test) in a general parametric framework has been introduced. In this paper, we prov

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cedffedb8edf9e67a42a7270c9f8f9c3
https://doi.org/10.1016/j.spl.2011.04.001