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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Wald-Type Testing and Estimation Methods for Asymmetric Comparisons of Poisson Rates [PDF]
This article considers the problem of asymmetric comparisons, that is, instances where one treatment serves as the compelling standard treatment for a certain disease or health condition, where the asymmetric comparisons are performed in terms of the Poisson rates.
Bright, Brianna C., Soulakova, Julia N.
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Inference in the indeterminate parameters problem
We face an indeterminate parameters problem when there are two sets of parameters, x and g, say, such that the null hypothesis H0:x=x0 makes the likelihood independent of g. A consequence of indeterminacy is the singularity of the information matrix. For
Marco Barnabani
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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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Non-Parametric Non-Inferiority Assessment in a Three-Arm Trial with Non-Ignorable Missing Data
A three-arm non-inferiority trial including a placebo is usually utilized to assess the non-inferiority of an experimental treatment to a reference treatment.
Wei Li, Yunqi Zhang, Niansheng Tang
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A Robust Wald-Type Test for Testing the Equality of Two Means from Log-Normal Samples [PDF]
The log-normal distribution is one of the most common distributions used for modeling skewed and positive data. It frequently arises in many disciplines of science, specially in the biological and medical sciences. The statistical analysis for comparing the means of two independent log-normal distributions is an issue of significant interest.
Ayanendranath Basu +3 more
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Posterior-based Wald-type statistics for hypothesis testing
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
LI, Yong +3 more
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The variational method, backreactions, and the absorption probability in Wald type problems
We argue that the variational method in Wald type thought experiments, involves order of magnitude problems when one imposes the fact that $$\delta M$$ δ M is inherently a first order quantity itself.
Koray Düztaş
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Composite Likelihood Methods Based on Minimum Density Power Divergence Estimator
In this paper, a robust version of the Wald test statistic for composite likelihood is considered by using the composite minimum density power divergence estimator instead of the composite maximum likelihood estimator.
Elena Castilla +3 more
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Homogeneity Test for Multiple Semicontinuous Data with the Density Ratio Model
The density ratio model has been widely used in many research fields. To test the homogeneity of the model, the empirical likelihood ratio test (ELRT) has been shown to be valid. In this paper, we conduct a parametric test procedure.
Yufan Wang, Xingzhong Xu
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