The polysurvival model with long-term survivors
Josmar Mazucheli, Francisco Louzada, and Jorge A. Achcar
Source: Braz. J. Probab. Stat. Volume 26, Number 3
(2012), 313-324.
Abstract
Long-term survival models have historically been considered for analyzing time-to-event data with long-term survivors fraction. However, situations in which a fraction (1 − p) of systems is subject to failure from independent competing causes of failure, while the remaining proportion p is cured or has not presented the event of interest during the time period of the study, have not been fully considered in the literature. In order to accommodate such situations, we present in this paper a new long-term survival model. Maximum likelihood estimation procedure is discussed as well as interval estimation and hypothesis tests. A real dataset illustrates the methodology.
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Links and Identifiers
Permanent link to this document: http://projecteuclid.org/euclid.bjps/1333632168
Digital Object Identifier: doi:10.1214/11-BJPS138
Zentralblatt MATH identifier: 06043074
Mathematical Reviews number (MathSciNet): MR2911709
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Brazilian Journal of Probability and Statistics
