Ling Zhou,Huazhen Lin,Xinyuan Song et al.
Ling Zhou et al.
Latent variable models have been widely used for modeling the dependence structure of multiple outcomes data. However, the formulation of a latent variable model is often unknown a priori, the misspecification will distort the dependence st...
Locally Efficient Semiparametric Estimators for Proportional Hazards Models with Measurement Error [0.03%]
带有测量误差的比例危险模型的半参数估计量的有效性
Yuhang Xu,Yehua Li,Xiao Song
Yuhang Xu
We propose a new class of semiparametric estimators for proportional hazards models in the presence of measurement error in the covariates, where the baseline hazard function, the hazard function for the censoring time, and the distribution...
Fitting Cox Models with Doubly Censored Data Using Spline-Based Sieve Marginal Likelihood [0.03%]
基于样条的边缘似然方法在双删失数据下拟合Cox模型
Zhiguo Li,Kouros Owzar
Zhiguo Li
In some applications, the failure time of interest is the time from an originating event to a failure event, while both event times are interval censored. We propose fitting Cox proportional hazards models to this type of data using a splin...
A Proportional Hazards Regression Model for the Sub-distribution with Covariates Adjusted Censoring Weight for Competing Risks Data [0.03%]
竞争风险数据的亚分布比例 hazards回归模型及其带调整协变量的 censoring权重方法研究
Peng He,Frank Eriksson,Thomas H Scheike et al.
Peng He et al.
With competing risks data, one often needs to assess the treatment and covariate effects on the cumulative incidence function. Fine and Gray proposed a proportional hazards regression model for the subdistribution of a competing risk with t...
Computing Critical Values of Exact Tests by Incorporating Monte Carlo Simulations Combined with Statistical Tables [0.03%]
结合统计表的蒙特卡罗模拟计算精确检验的临界值大小分布理论及其应用研讨会摘要集摘要集第43届巴西统计学会年会论文集摘要集第42届巴西统计学会年会论文集摘要集第41届巴西统计学会年会论文集
Albert Vexler,Young Min Kim,Jihnhee Yu et al.
Albert Vexler et al.
Various exact tests for statistical inference are available for powerful and accurate decision rules provided that corresponding critical values are tabulated or evaluated via Monte Carlo methods. This article introduces a novel hybrid meth...
A Rejection Principle for Sequential Tests of Multiple Hypotheses Controlling Familywise Error Rates [0.03%]
一种控制整体错误率的多重假设序贯检验拒绝原则
Jay Bartroff,Jinlin Song
Jay Bartroff
We present a unifying approach to multiple testing procedures for sequential (or streaming) data by giving sufficient conditions for a sequential multiple testing procedure to control the familywise error rate (FWER). Together we call these...
Marginal and Conditional Distribution Estimation from Double-Sampled Semi-Competing Risks Data [0.03%]
双样本半竞争风险数据的边际和条件分布估计
Menggang Yu,Constantin T Yiannoutsos
Menggang Yu
Informative dropout is a vexing problem for any biomedical study. Most existing statistical methods attempt to correct estimation bias related to this phenomenon by specifying unverifiable assumptions about the dropout mechanism. We conside...
Instrument Assisted Regression for Errors in Variables Models with Binary Response [0.03%]
带有二元响应的误差变量模型的工具辅助回归方法
Kun Xu,Yanyuan Ma,Liqun Wang
Kun Xu
We study errors-in-variables problems when the response is binary and instrumental variables are available. We construct consistent estimators through taking advantage of the prediction relation between the unobservable variables and the in...
A proof of Bell's inequality in quantum mechanics using causal interactions [0.03%]
用因果关系证明量子力学中的贝尔不等式
James M Robins,Tyler J VanderWeele,Richard D Gill
James M Robins
We give a simple proof of Bell's inequality in quantum mechanics using theory from causal interaction, which, in conjunction with experiments, demonstrates that the local hidden variables assumption is false. The proof sheds light on relati...
Ying Ding,Bin Nan
Ying Ding
For right censored survival data, it is well known that the mean survival time can be consistently estimated when the support of the censoring time contains the support of the survival time. In practice, however, this condition can be easil...