Manoj Khanal,Soyoung Kim,Kwang Woo Ahn
Manoj Khanal
Observational studies with right-censored data often have clustered data due to matched pairs or a study center effect. In such data, there may be an imbalance in patient characteristics between treatment groups, where Kaplan-Meier curves o...
Analysis of combined probability and nonprobability samples: A simulation evaluation and application to a teen smoking behavior survey [0.03%]
概率与非概率抽样结合的统计分析：基于青少年吸烟行为调查的模拟评估及应用
Wenna Xi,Alice Hinton,Bo Lu et al.
Wenna Xi et al.
In scientific studies with low-prevalence outcomes, probability sampling may be supplemented by nonprobability sampling to boost the sample size of desired subpopulation while remaining representative to the entire study population. To util...
Wentao Cao,Yaling Li,Qingzhao Yu
Wentao Cao
Mediation analysis is widely used to identify significant mediators and estimate the mediation (direct and indirect) effects in causal pathways between an exposure variable and a response variable. In mediation analysis, the mediation effec...
Alan D Hutson
Alan D Hutson
In this note we introduce a new smooth nonparametric quantile function estimator based on a newly defined generalized expectile function and termed the sigmoidal quantile function estimator. We also introduce a hybrid quantile function esti...
A weighted Jackknife approach utilizing linear model based-estimators for clustered data [0.03%]
一种利用线性模型估计量的加权剪切法处理聚类数据的方法研究
Ruofei Du,Ye Jin Choi,Ji-Hyun Lee et al.
Ruofei Du et al.
Small number of clusters combined with cluster level heterogeneity poses a great challenge for the data analysis. We have published a weighted Jackknife approach to address this issue applying weighted cluster means as the basic estimators....
Optimal Personalized Treatment Selection with Multivariate Outcome Measures in a Multiple Treatment Case [0.03%]
具有多变量结果度量的多个治疗情景中的最优个性化治疗选择
Chathura Siriwardhana,K B Kulasekera
Chathura Siriwardhana
In this work we propose a novel method for individualized treatment selection when there are correlated multiple treatment responses. For the K treatment (K ≥ 2) scenario, we compare quantities that are suitable indexes based on outcome va...
Hui Zeng,Vernon M Chinchilli,Nasrollah Ghahramani
Hui Zeng
The natural direct and indirect effects in causal mediation analysis with survival data having one mediator is addressed by VanderWeele (2011) [1]. He derived an approach for (1) an accelerated failure time regression model in general cases...
Robust Estimation of Heterogeneous Treatment Effects: An Algorithm-based Approach [0.03%]
基于算法的异质性治疗效应稳健估计方法研究
Ruohong Li,Honglang Wang,Yi Zhao et al.
Ruohong Li et al.
Heterogeneous treatment effect estimation is an essential element in the practice of tailoring treatment to suit the characteristics of individual patients. Most existing methods are not sufficiently robust against data irregularities. To e...
Using biomarkers to allocate patients in a response-adaptive clinical trial [0.03%]
利用生物标志物在自适应临床试验中分配患者
H Jackson,S Bowen,T Jaki
H Jackson
In this paper, we discuss a response adaptive randomization method, and why it should be used in clinical trials for rare diseases compared to a randomized controlled trial with equal fixed randomization. The developed method uses a patient...
I L Singini,H G Mwambi,F N Gumedze
I L Singini
A two-stage joint survival model is used to analyse time to event outcomes that could be associated with biomakers that are repeatedly collected over time. A Two-stage joint survival model has limited model checking tools and is usually ass...