Regression Analysis of Bivariate Current Status Data Using a Multistate Model
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초록

We consider bivariate current status data with death which often occur in animal tumorigenicity experiments. Instead of observing exact tumor onset time, the existence of tumor is known at death time or sacrifice time. Such an incomplete data structure makes it difficult to investigate the effect of treatment on tumor onset times. Furthermore, when tumor onsets occur at two sites, information for the order of their onsets is unknown. A multistate model is applied to incorporate the sequential occurrence of events. For the inference of parameters, an EM algorithm is applied and a real NTP (National Toxicology Program) dataset is analyzed as an illustrative example.

키워드

Bivariate current status dataEM algorithmMultistate modelTumorigenicityFAILURE TIME DATATUMORIGENICITY EXPERIMENTSFRAILTY MODELDEATH
제목
Regression Analysis of Bivariate Current Status Data Using a Multistate Model
저자
Kim, Yang-Jin
DOI
10.1080/03610918.2012.705937
발행일
2014-01
유형
Article
저널명
Communications in Statistics Part B: Simulation and Computation
43
3
페이지
462 ~ 475