Assessing natural direct and indirect effects for a continuous exposure and a dichotomous outcome [0.03%]
连续暴露与二分结果变量之间自然直接效应和自然间接效应的评估方法研究
Wei Wang,Bo Zhang
Wei Wang
Recent advances in the literature on mediation have extended from traditional linear structural equation modeling approach to causal mediation analysis using potential outcomes framework. Pearl proposed a mediation formula to calculate expe...
Kun Chen,Kung-Sik Chan
Kun Chen
A reduced-rank regression with sparse singular value decomposition (RSSVD) approach was proposed by Chen et al. for conducting variable selection in a reduced-rank model. To jointly model the multivariate response, the method efficiently co...
Propriety conditions for the Bayesian autologistic model - Inference for histone modifications [0.03%]
贝叶斯自逻辑模型的适宜条件－组蛋白修饰的推断问题
Riten Mitra,Peter Müller,Yuan Ji
Riten Mitra
Motivated by inference for a set of histone modifications we consider an improper prior for an autologistic model. We state sufficient conditions for posterior propriety under a constant prior on the coefficients of an autologistic model. W...
Pattern-mixture-type Estimation and Testing of Neuroblastoma Treatment Regimes [0.03%]
神经母细胞瘤治疗方案的模式混合型估计和检验方法研究
Xinyu Tang,Abdus S Wahed
Xinyu Tang
Sequentially randomized designs are commonly used in biomedical research, particularly in clinical trials, to assess and compare the effects of different treatment regimes. In such designs, eligible patients are first randomized to one of t...
Analysis of Partially Incomplete Tables of Breast Cancer Characteristics with an Ordinal Variable [0.03%]
含有序变量的乳腺癌特征部分不完整表的分析
B Nebiyou Bekele,Luis E Nieto-Barajas,Mark F Munsell
B Nebiyou Bekele
Our goal is to model the joint distribution of a series of 4×2×2×2 contingency tables for which some of the data are partially collapsed (i.e., aggregated in as few as two dimensions). More specifically, the joint distribution of 4 clini...
Estimation of finite population parameters with auxiliary information and response error [0.03%]
辅助信息和响应误差下的有限总体参数估计
L M González,J M Singer,E J Stanek rd
L M González
We use a finite population mixed model that accommodates response error in the survey variable of interest and auxiliary information to obtain optimal estimators of population parameters from data collected via simple random sampling. We il...
Generalized Redistribute-to-the-Right Algorithm: Application to the Analysis of Censored Cost Data [0.03%]
广义的重新分配算法：在审查成本数据中的应用
Shuai Chen,Hongwei Zhao
Shuai Chen
Medical cost estimation is a challenging task when censoring of data is present. Although researchers have proposed methods for estimating mean costs, these are often derived from theory and are not always easy to understand. We provide an ...
Bias Correction Methods for Misclassified Covariates in the Cox Model: comparison offive correction methods by simulation and data analysis [0.03%]
Cox模型中错误分类协变量的偏差矫正方法：模拟和数据分析五种矫正方法的效果比较
Heejung Bang,Ya-Lin Chiu,Jay S Kaufman et al.
Heejung Bang et al.
Measurement error/misclassification is commonplace in research when variable(s) can notbe measured accurately. A number of statistical methods have been developed to tackle this problemin a variety of settings and contexts. However, relativ...
Correcting the Results of the Wrong Model: Treatment Effects under Early Detection of Cancer [0.03%]
纠正错误模型的结果：早期检测癌症下的治疗效果
Shih-Yuan Lee,Alex Tsodikov
Shih-Yuan Lee
Early detection of cancer leads to variability of the point of diagnosis advanced by the amount of the so-called lead time, a random variable. Estimated treatment effects by the proportional hazards (PH) model may be biased if this variabil...
Sehee Kim,Donglin Zeng,Yi Li et al.
Sehee Kim et al.
This article presents semiparametric joint models to analyze longitudinal measurements and survival data with a cure fraction. We consider a broad class of transformations for the cure-survival model, which includes the popular proportional...