Albert Vexler,Jihnhee Yu,Nicol Lazar
Albert Vexler
Bayes factors, practical tools of applied statistics, have been dealt with extensively in the literature in the context of hypothesis testing. The Bayes factor based on parametric likelihoods can be considered both as a pure Bayesian approa...
Semiparametric Estimation Methods for the Accelerated Failure Time Mixture Cure Model [0.03%]
加速失效时间混合愈合模型的半参数估计方法
Jiajia Zhang,Yingwei Peng
Jiajia Zhang
This paper provides an overview of two semiparametric estimation methods recently proposed in the literature for the accelerated failure time mixture cure model. We prove that the two estimation methods are asymptotically equivalent. A simu...
Asymptotic results for fitting marginal hazards models from stratified case-cohort studies with multiple disease outcomes [0.03%]
分层病例队列设计中拟合多重疾病结局的边缘危险率模型的渐近性质
Sangwook Kang,Jianwen Cai
Sangwook Kang
In stratified case-cohort designs, samplings of case-cohort samples are conducted via a stratified random sampling based on covariate information available on the entire cohort members. In this paper, we extended the work of Kang & Cai (200...
Discussion of Dette and Trampisch's paper "A general approach to D-optimal designs for weighted univariate polynomial regression models" [0.03%]
Dette和Trampisch论文的讨论："加权一元多项式回归模型的D-最优设计的通用方法"
Weng Kee Wong
Weng Kee Wong
This is discussion on "A general approach to D-optimal designs for weighted univariate polynomial regression models" by Holger Dette and Matthias Trampisch.
Wensheng Zhu,Heping Zhang
Wensheng Zhu
In studies of complex disorders such as nicotine dependence, it is common that researchers assess multiple variables related to a disorder as well as other disorders that are potentially correlated with the primary disorder of interest. In ...
Rejoinder: Why Do We Test Multiple Traits in Genetic Association Studies? [0.03%]
答辩：为什么我们在遗传相关研究中测试多个特征？
Wensheng Zhu,Heping Zhang
Wensheng Zhu