Residual-Based Sieve Maximum Full Likelihood Estimation for the Proportional Hazards Model [0.03%]
基于残差的筛分极大似然估计在比例 Hazard 模型中的应用
Taehwa Choi,Susan Halabi,Hyotae Kim et al.
Taehwa Choi et al.
The partial likelihood approach is the gold standard approach for estimating regression parameters in proportional hazards model, largely because it avoids specifying the baseline hazard function. However, this approach can lack robustness ...
Yimei Li,Daniel F Heitjan
Yimei Li
We introduce a new survival distribution, of Pareto type, that arises from a cure-mixture frailty model. We describe its properties and demonstrate connections with familiar distributions including the Pareto and exponential. We derive its ...
Parameter-expanded data augmentation for analyzing multinomial probit models [0.03%]
参数扩展数据扩充在分析多项式probit模型中的应用
Xiao Zhang
Xiao Zhang
The multinomial probit model has been a prominent tool to analyze nominal categorical data, but the computational complexity of maximum likelihood functions presents challenges in the usage of this model. Furthermore, the model identificati...
Sample size estimation for the ratio of count outcomes in a cluster randomized trial using GEE [0.03%]
群随机对照试验中使用广义估计方程的计数结果比值样本量估算方法研究
Jijia Wang,Song Zhang,Chul Ahn
Jijia Wang
Count outcomes often occur in cluster randomized trials. Particularly in the context of epidemiology, the ratio of incidence rates has been used to assess the effectiveness of an intervention. In practice, cluster sizes typically vary acros...
Regression Modeling of Cumulative Incidence Function for Left-Truncated Right-Censored Competing Risks Data: A Modified Pseudo-observation Approach [0.03%]
一种改进的伪观测值方法对左截尾右删失竞争风险数据累积发病率函数进行回归建模
Rong Rong,Jing Ning,Hong Zhu
Rong Rong
Statistical methods have been developed for regression modeling of the cumulative incidence function (CIF) given left-truncated right-censored competing risks data. Nevertheless, existing methods typically involve complicated weighted estim...
Identifiability and convergence behavior for Markov chain Monte Carlo using multivariate probit models [0.03%]
多元probit模型下马尔可夫链蒙特卡罗方法的识别性和收敛性分析
Xiao Zhang
Xiao Zhang
Multivariate probit models have been popularly utilized to analysis multivariate ordinal data. However, the identifiable multivariate probit models entail the covariance matrix for the underlying multivariate normal variables to be a correl...
STOPPING RULES FOR LONG TERM CLINICAL TRIALS BASED ON TWO CONSECUTIVE: REJECTIONS OF THE NULL HYPOTHESIS [0.03%]
基于两次连续拒绝零假设的长期临床试验停止规则
Mohamed Mubasher,Howard E Rockette
Mohamed Mubasher
A strategy for stopping long term randomized clinical trials with time-to-event as a primary outcome measure has been considered using the criteria requiring multiple consecutive (or non-consecutive) rejections at a specified α-level that ...
Efficient inferences for linear transformation models with doubly censored data [0.03%]
双侧 censorship 下线性转换模型的高效推断方法研究
Sangbum Choi,Xuelin Huang
Sangbum Choi
Doubly-censored data, which consist of exact and case-1 interval-censored observations, often arise in medical studies, such as HIV/AIDS clinical trials. This article considers nonparametric maximum likelihood estimation (NPMLE) of semipara...
Bayesian Mediation Analysis for Time-to-Event Outcome: Investigating Racial Disparity in Breast Cancer Survival [0.03%]
基于时间结果的中介分析在乳腺癌生存率中的种族差异研究
Qingzhao Yu,Wentao Cao,Donald Mercante et al.
Qingzhao Yu et al.
Mediation analysis is conducted to make inferences on effects of mediators that intervene the relationship between an exposure variable and an outcome. Bayesian mediation analysis (BMA) naturally considers the hierarchical structure of the ...
Competing risks regression for clustered data with covariate-dependent censoring [0.03%]
具有协变量相关删失的聚类数据的竞争风险回归
Manoj Khanal,Soyoung Kim,Xi Fang et al.
Manoj Khanal et al.
Competing risks data in clinical trial or observational studies often suffer from cluster effects such as center effects and matched pairs design. The proportional subdistribution hazards (PSH) model is one of the most widely used methods f...