Title | Bayesian gamma frailty models for survival data with semi-competing risks and treatment switching. |
Publication Type | Journal Article |
Year of Publication | 2014 |
Authors | Zhang, Yuanye, Ming-Hui Chen, Joseph G. Ibrahim, Donglin Zeng, Qingxia Chen, Zhiying Pan, and Xiaodong Xue |
Journal | Lifetime Data Anal |
Volume | 20 |
Issue | 1 |
Pagination | 76-105 |
Date Published | 2014 Jan |
ISSN | 1572-9249 |
Keywords | Algorithms, Antibodies, Monoclonal, Bayes Theorem, Colorectal Neoplasms, Computer Simulation, Disease Progression, Humans, Models, Statistical, Panitumumab, Survival Analysis |
Abstract | Motivated from a colorectal cancer study, we propose a class of frailty semi-competing risks survival models to account for the dependence between disease progression time, survival time, and treatment switching. Properties of the proposed models are examined and an efficient Gibbs sampling algorithm using the collapsed Gibbs technique is developed. A Bayesian procedure for assessing the treatment effect is also proposed. The deviance information criterion (DIC) with an appropriate deviance function and Logarithm of the pseudomarginal likelihood (LPML) are constructed for model comparison. A simulation study is conducted to examine the empirical performance of DIC and LPML and as well as the posterior estimates. The proposed method is further applied to analyze data from a colorectal cancer study. |
DOI | 10.1007/s10985-013-9254-8 |
Alternate Journal | Lifetime Data Anal |
Original Publication | Bayesian gamma frailty models for survival data with semi-competing risks and treatment switching. |
PubMed ID | 23543121 |
PubMed Central ID | PMC3745804 |
Grant List | CA 74015 / CA / NCI NIH HHS / United States R37 GM047845 / GM / NIGMS NIH HHS / United States R01 GM070335 / GM / NIGMS NIH HHS / United States GM 70335 / GM / NIGMS NIH HHS / United States UL1 RR024975 / RR / NCRR NIH HHS / United States P01 CA142538 / CA / NCI NIH HHS / United States R01 CA074015 / CA / NCI NIH HHS / United States R01 CA082659 / CA / NCI NIH HHS / United States R21 HL097334 / HL / NHLBI NIH HHS / United States |
Bayesian gamma frailty models for survival data with semi-competing risks and treatment switching.
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