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- W2522377389 abstract "A mixture model is proposed to analyze a bivariate interval censored data with cure rates. There exist two types of association related with bivariate failure times and bivariate cure rates, respectively. A correlation coefficient is adopted for the association of bivariate cure rates and a copula function is applied for bivariate survival times. The conditional expectation of unknown quantities attributable to interval censored data and cure rates are calculated in the E-step in ES (Expectation-Solving algorithm) and the marginal estimates and the association measures are estimated in the S-step through a two-stage procedure. A simulation study is performed to evaluate the suggested method and a real data from HIV patients is analyzed as a real data example." @default.
- W2522377389 created "2016-09-30" @default.
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- W2522377389 date "2017-04-21" @default.
- W2522377389 modified "2023-09-24" @default.
- W2522377389 title "Cure rate model with bivariate interval censored data" @default.
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- W2522377389 doi "https://doi.org/10.1080/03610918.2016.1228959" @default.
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