A New Flexible Association Measure for Semi-Competing Risks Data

来源 :泛华统计学会(icsa)2015年学术会议 | 被引量 : 0次 | 上传用户:blueteen
下载到本地 , 更方便阅读
声明 : 本文档内容版权归属内容提供方 , 如果您对本文有版权争议 , 可与客服联系进行内容授权或下架
论文部分内容阅读
In a semi-competing risks setting,it is often of interest to assess the dependence between the nonterminal event and the terminal event.In this work,we propose a new association measure which is well tailored to the data structure of semi-competing risks and does not rely on any distributional assumptions.
其他文献
This work treats the problem of estimating the predictive density of a random vector when both the mean vector and the variance are unknown.
会议
With the recent advent of high-throughput genotyping techniques,genetic data for genome-wide association studies(GWAS) have become increasingly available,which
会议
In high-dimensional models that involve interactions,statisticians usually favor variable selection obeying certain logical hierarchical constraints.This talk f
会议
Consider a two-class clustering problem where we have the data Xi = liμ+Zi,Zi~N(0,Ip),1 ≤ i ≤ n.The class labels li ∈ {-1,1} are unknown and the main interes
会议
This paper is concerned with the problems of interaction screening and nonlinear classification in high-dimensional setting.We propose a two-step procedure,ⅡS-
会议
Publication bias occurs when the strength or direction of the results between published and unpublished studies differ.Ignoring publication bias in a meta-analy
会议
Drug development has become increasingly costly,lengthy,and risky.The call for better decision making in research and development has never been stronger.
会议
In biomedical studies,covariates with measurement error may occur in survival data.Existing approaches mostly require certain replications on the error-contamin
会议
Although single index models have been extensively studied,the link function f in the single index models may not be monotonic.In many situations,it is desirabl
会议
This project quantifies racial cancer survival disparity in South Carolina through the consideration of a Bayesian semiparametric approach to the extended hazar
会议