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Robustness Property of Robust-BD Wald-Type Test for Varying-Dimensional General Linear Models [PDF]
Entropy, 2018 An important issue for robust inference is to examine the stability of the asymptotic level and power of the test statistic in the presence of contaminated data.
Xiao Guo, Chunming Zhang
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Entropy, 2022 Minimum Renyi’s pseudodistance estimators (MRPEs) enjoy good robustness properties without a significant loss of efficiency in general statistical models, and, in particular, for linear regression models (LRMs). In this line, Castilla et al.
María Jaenada, Leandro Pardo
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Statistical Inference for Odds Ratio of Two Proportions in Bilateral Correlated Data
Axioms, 2022 Bilateral correlated data frequently arise in medical clinical studies such as otolaryngology and ophthalmology. Based on an equal correlation coefficient model, this paper mainly aimed to investigate the statistical inference for the odds ratio of two ...
Zhiming Li, Changxing Ma
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Trials, 2022 Background The HEALing (Helping to End Addiction Long-termSM) Communities Study (HCS) is a multi-site parallel group cluster randomized wait-list comparison trial designed to evaluate the effect of the Communities That Heal (CTH) intervention compared to
Xiaoyu Tang +6 more
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Genetic association tests in family samples for multi-category phenotypes
BMC Genomics, 2021 Background Advancements in statistical methods and sequencing technology have led to numerous novel discoveries in human genetics in the past two decades.
Shuai Wang +2 more
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Frontiers in Psychology, 2022 Within the framework of constrained statistical inference, we can test informative hypotheses, in which, for example, regression coefficients are constrained to have a certain direction or be in a specific order. A large amount of frequentist informative
Caroline Keck, Axel Mayer, Yves Rosseel
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Asymptotic Sample Size for Common Test of Relative Risk Ratios in Stratified Bilateral Data
Mathematics, 2023 In medical clinical studies, various tests usually relate to the sample size. This paper proposes several methods to calculate sample sizes for a common test of relative risk ratios in stratified bilateral data.
Keyi Mou, Zhiming Li, Changxing Ma
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Type I error control for cluster randomized trials under varying small sample structures
BMC Medical Research Methodology, 2021 Background Linear mixed models (LMM) are a common approach to analyzing data from cluster randomized trials (CRTs). Inference on parameters can be performed via Wald tests or likelihood ratio tests (LRT), but both approaches may give incorrect Type I ...
Joshua R. Nugent, Ken P. Kleinman
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Robust Test Statistics Based on Restricted Minimum Rényi’s Pseudodistance Estimators
Entropy, 2022 The Rao’s score, Wald and likelihood ratio tests are the most common procedures for testing hypotheses in parametric models. None of the three test statistics is uniformly superior to the other two in relation with the power function, and moreover, they ...
María Jaenada +2 more
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Axioms, 2023 In medical clinical studies, we often encounter paired organs’ unilateral or bilateral data. For bilateral data, there exists an intraclass correlation between paired organs.
Yuxin Li, Zhiming Li, Keyi Mou
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