Marginal methods for clustered longitudinal binary data with incomplete covariates [0.03%]
纵向聚类二值数据不完全协变量的边际方法研究
Baojiang Chen,Grace Y Yi,Richard J Cook et al.
Baojiang Chen et al.
Many analyses for incomplete longitudinal data are directed to examining the impact of covariates on the marginal mean responses. We consider the setting in which longitudinal responses are collected from individuals nested within clusters....
Exact confidence interval estimation for the difference in diagnostic accuracy with three ordinal diagnostic groups [0.03%]
三种有序诊断结果的差异精确置信区间估计方法研究
Lili Tian,Chengjie Xiong,Chin-Ying Lai et al.
Lili Tian et al.
In the cases with three ordinal diagnostic groups, the important measures of diagnostic accuracy are the volume under surface (VUS) and the partial volume under surface (PVUS) which are the extended forms of the area under curve (AUC) and t...
Steven F Arnold,Panagis G Moschopoulos
Steven F Arnold
We consider inference for row effects in the presence of possible interactions in a two-way fixed effects model when the numbers of observations are themselves random variables. Let Nij be the number of observations in the (i, j) cell, πij...
On the efficiency of nonparametric variance estimation in sequential dose-finding [0.03%]
序贯剂量寻找中非参方差估计的有效性研究
Chih-Chi Hu,Ying Kuen Cheung
Chih-Chi Hu
Dose-finding in clinical studies is typically formulated as a quantile estimation problem, for which a correct specification of the variance function of the outcomes is important. This is especially true for sequential study where the varia...
Semiparametric inference on the penetrances of rare genetic mutations based on a case-family design [0.03%]
基于病例家庭设计的罕见遗传突变渗透率的半参数推断方法研究
Hong Zhang,Donglin Zeng,Sylviane Olschwang et al.
Hong Zhang et al.
A formal semiparametric statistical inference framework is proposed for the evaluation of the age-dependent penetrance of a rare genetic mutation, using family data generated under a case-family design, where phenotype and genotype informat...
Albert Vexler,Gregory Gurevich,Alan D Hutson
Albert Vexler
The Wilcoxon rank-sum test and its variants are historically well-known to be very powerful nonparametric decision rules for testing no location difference between two groups given paired data versus a shift alternative. In this article, we...
Yi Cheng,Yu Shen
Yi Cheng
We propose an efficient group sequential monitoring rule for clinical trials. At each interim analysis both efficacy and futility are evaluated through a specified loss structure together with the predicted power. The proposed design is rob...
Testing for changes in autocovariances of nonparametric time series models [0.03%]
非参数时间序列模型自协方差变化的检验
Xiaoye Li,Zhibiao Zhao
Xiaoye Li
In the literature on change-point analysis, much attention has been paid to detecting changes in certain marginal characteristics, such as mean, variance, and marginal distribution. For time series data with nonparametric time trend, we stu...
Albert Vexler,Wei Deng,Gregory E Wilding
Albert Vexler
Bayes methodology provides posterior distribution functions based on parametric likelihoods adjusted for prior distributions. A distribution-free alternative to the parametric likelihood is use of empirical likelihood (EL) techniques, well ...
Reducing Bias and Mean Squared Error Associated With Regression-Based Odds Ratio Estimators [0.03%]
减少与基于回归的比值比估计相关的偏差和均方误差
Robert H Lyles,Ying Guo,Sander Greenland
Robert H Lyles
Ratio estimators of effect are ordinarily obtained by exponentiating maximum-likelihood estimators (MLEs) of log-linear or logistic regression coefficients. These estimators can display marked positive finite-sample bias, however. We propos...