Application of the theory of finite mixtures for the estimation of ‘cure’ rates of treated cancer patients
- 1 April 1990
- journal article
- research article
- Published by Wiley in Statistics in Medicine
- Vol. 9 (4), 397-407
- https://doi.org/10.1002/sim.4780090411
Abstract
I assume the survival function of treated cancer patients to be a mixture of two subpopulations, with c equal to the proportion who will die of other causes, and 1 — c the proportion who will die of their disease. Using census data, I estimate the parameters of the survival distribution of those patients dying of other causes, and then use follow-up data to determine the maximum likelihood estimates of the proportion constant c and the parameters of the survival function of those dying of their disease. I illustrate the methodology using data from a prospective clinical trial in breast cancer.This publication has 12 references indexed in Scilit:
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