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The analysis of tumorigenicity data using a frailty effect

Authors
 Yang-Jin Kim  ;  Chung Mo Nam  ;  Jinheum Kim  ;  Eun Hee Choi  ;  Youn Nam Kim 
Citation
 Journal of the Korean Statistical Society, Vol.40(3) : 281-290, 2011 
Journal Title
 Journal of the Korean Statistical Society 
ISSN
 1226-3192 
Issue Date
2011
Abstract
In animal tumorigenicity data, the time of occurrence of the tumor is not observed because the existence of the tumor is looked for only at either the time of death or the time of sacrifice of the animal. Such an incomplete data structure makes it difficult to investigate the impact of treatment on the occurrence of tumors. A three-state model (no tumor–tumor–death) is used to model events that occurred sequentially and to connect them. In this paper, we also employed a frailty effect to model the dependency of death on tumor occurrence. For the inference of parameters, an EM algorithm is considered. The method is applied to a real bladder tumor data set and a simulation study is performed to show the behavior of the proposed estimators
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/94029
DOI
10.1016/j.jkss.2010.20.007
Appears in Collections:
1. Journal Papers (연구논문) > 1. College of Medicine (의과대학) > Dept. of Biostatistics (의학통계학과)
1. Journal Papers (연구논문) > 1. College of Medicine (의과대학) > Dept. of Preventive Medicine (예방의학교실)
Yonsei Authors
김윤남(Kim, Youn Nam) ; 남정모(Nam, Jung Mo) ; 최은희(Choi, Eun Hee)
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Full Text
http://www.sciencedirect.com/science/article/pii/S1226319210000980
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