Results 21 to 30 of about 82,329 (299)
Statistical Inference for Odds Ratio of Two Proportions in Bilateral Correlated Data
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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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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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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Fast score test with global null estimation regardless of missing genotypes. [PDF]
In genome-wide association studies (GWASs) for binary traits (or case-control samples) in the presence of covariates to be adjusted for, researchers often use a logistic regression model to test variants for disease association.
Shuntaro Sato +2 more
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On the Formulation of Wald Tests of Nonlinear Restrictions [PDF]
Summary: This paper utilizes asymptotic expansions of the Edgeworth type to investigate alternative forms of the Wald test of nonlinear restrictions. Some formulae for the asymptotic expansion of the distribution of the Wald statistic are provided for a general case that should include most econometric applications. When specialized to the simple cases
Phillips, Peter C B, Park, Joon Y
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This study is intended as a note and provides an extension to a much-used and established test for portfolio efficiency, the Gibbons, Ross, and Shanken GRS-Wald test.
Pankaj Agrrawal
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Type I error control for cluster randomized trials under varying small sample structures
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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On testing proportional odds assumptions for proportional odds models
Proportional odds models are commonly used to model ordinal responses, but the proportional odds assumption may not hold in practice, leading to biased inference.
Xin M Tu, Hua He, Anqi Liu, Wan Tang
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Asymptotic Sample Size for Common Test of Relative Risk Ratios in Stratified Bilateral Data
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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Robust Test Statistics Based on Restricted Minimum Rényi’s Pseudodistance Estimators
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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