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A Covariate Model for Partially Censored Data Subject to Competing Causes of Failure
Author(s) -
Lagakos S. W.
Publication year - 1978
Publication title -
journal of the royal statistical society: series c (applied statistics)
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.205
H-Index - 72
eISSN - 1467-9876
pISSN - 0035-9254
DOI - 10.2307/2347158
Subject(s) - covariate , subject (documents) , econometrics , statistics , mathematics , computer science , library science
Summary A covariate model is presented for use in the analysis of partially censored data subject to competing causes of failure. Methods for estimating and testing the model parameters are obtained by likelihood methods. The techniques are illustrated with data from a cancer clinical trial.