A proportional hazards cure model for the analysis of time to event with frequently unidentifiable causes |
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| Authors: | Dahlberg Suzanne E Wang Molin |
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| Affiliation: | Department of Biostatistics, Harvard School of Public Health and Dana-Farber Cancer Institute, Boston, Massachusetts 02115, USA. dahlberg@jimmy.harvard.edu |
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| Abstract: | We propose a semiparametric method for the analysis of masked-cause failure data that are also subject to a cure. We present estimators for the failure time distribution, the cure rate, and the covariate effect on each of these, assuming a proportional hazards cure model for the time to event of interest and we use the expectation-maximization algorithm to conduct the likelihood maximization. The method is applied to data from a breast cancer clinical trial. |
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| Keywords: | Competing risks Cure rate Masked cause Proportional hazards model |
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