Work

Bayesian gamma frailty models for survival data with semi-competing risks and treatment switching

Year: 2013

Type: article

Source: Lifetime Data Analysis

DOI: 10.1007/s10985-013-9254-8

Authors: Yuanye Zhang, Ming-Hui Chen, Joseph G. Ibrahim, Donglin Zeng, Qingxia Chen, Zhiying Pan, Xiaodong Xue

Institutions: University of Connecticut, University of North Carolina at Chapel Hill, Vanderbilt University, Amgen (United States)

Language: English

Topic: Statistical Distribution Estimation and Applications

Subfield: Statistics and Probability

Field: Mathematics

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: green

Funders: National Institutes of Health, National Heart, Lung, and Blood Institute, National Cancer Institute, National Institute of General Medical Sciences, National Center for Research Resources

Awards: G1247444107, G138073231, Statistical Methods in Chronic Disease Research, A New Approach to Correct Verification Bias Using Auxiliary Information, Statistical Methods for Cancer Clinical Trials, The Vanderbilt Institute for Clinical and Translational Research (VICTR) UL1, Inference in Regression Models with Missing Covariates, Semiparametric Regression Analysis of Censored Data, Bayesian Approaches to Model Selection for Survival Data, G966564617

OpenAlex ID: W2092999558

FWCI: 2.709

Cites: 23

Cited by: 28

Related to: 10