A competing risks derivation of a mixture model for the analysis of survival data
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Publication:3711613
DOI10.1080/03610928408828883zbMath0586.62182OpenAlexW2012174789MaRDI QIDQ3711613
Joel B. Greenhouse, Robert A. Wolfe
Publication date: 1984
Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610928408828883
maximum likelihoodWeibull distributionmixture modelcompeting riskscureanalysis of survival time datageneral likelihood functionStanford Heart Transplant Program
Applications of statistics to biology and medical sciences; meta analysis (62P10) Reliability and life testing (62N05)
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On modifications to the long-term survival mixture model in the presence of competing risks ⋮ On Competing Risks with Masked Failures ⋮ Asymptotic Results for Exponential Mixture Models with Long-Term Survivors ⋮ Random effects in promotion time cure rate models ⋮ A nonparametric comparison of conditional distributions with nonnegligible cure fractions ⋮ A new long-term lifetime distribution induced by a latent complementary risk framework ⋮ A cure rate model for exponentially distributed lifetimes with competing risks ⋮ Maximum Likelihood Methods for Cure Rate Models with Missing Covariates ⋮ Nonparametric Estimation in a Cure Model with Random Cure Times ⋮ Bayesian Approaches to Joint Cure-Rate and Longitudinal Models with Applications to Cancer Vaccine Trials ⋮ A bivariate regression model with cure fraction ⋮ The umvue and bayes estimate of reliability of mixed failure time distribution ⋮ Bayesian analysis for masked system failure data using non-identical Weibull models ⋮ The generalized log-gamma mixture model with covariates: local influence and residual analysis
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