Semiparametric Bayesian commensurate survival model for post-market medical device surveillance with non-exchangeable historical data.
第一作者:
Thomas A,Murray
第一单位:
Division of Biostatistics, School of Public Health, University of Minnesota, Minneapolis, Minnesota, U.S.A.; United States Renal Data System, Minneapolis Medical Research Foundation, Minneapolis, Minnesota, U.S.A.
作者:
主题词
成年人(Adult);老年人(Aged);贝叶斯定理(Bayes Theorem);计算机模拟(Computer Simulation);药物洗脱支架(Drug-Eluting Stents);人类(Humans);中年人(Middle Aged);模型, 统计学(Models, Statistical);腹膜透析(Peritoneal Dialysis);产品监测, 售后(Product Surveillance, Postmarketing);存活率分析(Survival Analysis)
DOI
10.1111/biom.12115
PMID
24308779
发布时间
2021-10-21
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Biometrics
185-91页
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