Cure rate proportional odds models with spatial frailties for interval-censored data
نویسندگان
چکیده
منابع مشابه
Analysis of cure rate survival data under proportional odds model.
Due to significant progress in cancer treatments and management in survival studies involving time to relapse (or death), we often need survival models with cured fraction to account for the subjects enjoying prolonged survival. Our article presents a new proportional odds survival models with a cured fraction using a special hierarchical structure of the latent factors activating cure. This ne...
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There is a growing interest in the analysis of survival data with a cured proportion particularly in tumor recurrences studies. Biologically, it is reasonable to assume that the recurrence time is mainly affected by the overall health condition of the patient that depends on some covariates such as age, sex, or treatment type received. We propose a semiparametric frailty-Cox cure model to quant...
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For a random variable Y, denote its survival function by ( ) ( ) = SY t P Y t > , its density function by ( ) fY t , and its hazard function by ( ) ( ( ) ) Y fY t h t SY t = − . Given a covariate (vector) Z which does not depend on time Y,(Z,Y) follows a time-independent covariate PH (TIPH) model or Cox’s regression model if the conditional hazard function of | Y Z is ( ) ( ) | ( ) | | , Z Y z ...
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ژورنال
عنوان ژورنال: Communications for Statistical Applications and Methods
سال: 2017
ISSN: 2383-4757
DOI: 10.29220/csam.2017.24.6.605