Confidence Estimation via the Parametric Bootstrap in Logistic Joinpoint Regression [0.03%]
逻辑回归_JOINPOINT的参数引导置信区间估计方法研究
Ryan Gill,Grzegorz A Rempala,Michal Czajkowski
Ryan Gill
We consider asymptotic properties of the maximum likelihood and related estimators in a clustered logistic joinpoint model with an unknown joinpoint. Sufficient conditions are given for the consistency of confidence bounds produced by the p...
Estimation of Variance Components in the Mixed-Effects Models: A Comparison Between Analysis of Variance and Spectral Decomposition [0.03%]
混合效应模型方差组分的估计：方差分析与谱分解比较研究
Mi-Xia Wu,Kai-Fun Yu,Ai-Yi Liu
Mi-Xia Wu
The mixed-effects models with two variance components are often used to analyze longitudinal data. For these models, we compare two approaches to estimating the variance components, the analysis of variance approach and the spectral decompo...
Myunghee Cho Paik,Cuiling Wang
Myunghee Cho Paik
When data are missing, analyzing records that are completely observed may cause bias or inefficiency. Existing approaches in handling missing data include likelihood, imputation and inverse probability weighting. In this paper, we propose t...
Fei Zou,Lei Nie,Fred A Wright et al.
Fei Zou et al.
In quantitative-trait linkage studies using experimental crosses, the conventional normal location-shift model or other parameterizations may be unnecessarily restrictive. We generalize the mapping problem to a genuine nonparametric setup a...
Jeffrey D Blume
Jeffrey D Blume
Studies of diagnostic tests are often designed with the goal of estimating the area under the receiver operating characteristic curve (AUC) because the AUC is a natural summary of a test's overall diagnostic ability. However, sample size pr...
Damla Sentürk,Danh V Nguyen
Damla Sentürk
Covariate adjusted regression (CAR) is a recently proposed adjustment method for regression analysis where both the response and predictors are not directly observed (Şentürk and Müller, 2005). The available data has been distorted by un...
Confidence interval estimation of the difference between paired AUCs based on combined biomarkers [0.03%]
基于联合标志物的配对AUC之差的置信区间估计
Lili Tian,Albert Vexler,Li Yan et al.
Lili Tian et al.
In many diagnostic studies, multiple diagnostic tests are performed on each subject or multiple disease markers are available. Commonly, the information should be combined to improve the diagnostic accuracy. We consider the problem of compa...
Bayesian variable selection using an adaptive powered correlation prior [0.03%]
自适应相关性先验的贝叶斯变量选择方法研究
Arun Krishna,Howard D Bondell,Sujit K Ghosh
Arun Krishna
The problem of selecting the correct subset of predictors within a linear model has received much attention in recent literature. Within the Bayesian framework, a popular choice of prior has been Zellner's g-prior which is based on the inve...
Statistical Scoring Procedures Applicable to Laboratory Performance Evaluation [0.03%]
适用于实验室性能评价的统计记分方法
A S Hedayat,Guoqin Su,W Elane Streets
A S Hedayat
Two statistical scoring procedures based on p-values have been developed to evaluate the overall performance of analytical laboratories performing environmental measurements. The overall score of bias and standing are used to determine how ...
Testing Equality of Survival Distributions when the Population Marks are Missing [0.03%]
缺失人群标识符下的生存分布的均等性检验
Dipankar Bandyopadhyay,Somnath Datta
Dipankar Bandyopadhyay
This paper introduces a nonparametric approach for testing the equality of two or more survival distributions based on right censored failure times with missing population marks for the censored observations. The standard log-rank test is n...