Cure rate survival models with missing covariates: a simulation study

DOI10.1080/00949655.2011.613396zbMath1349.62486OpenAlexW1982523747MaRDI QIDQ4922613

Dione M. Valença, Renata Santana Fonseca, Heleno Bolfarine

Publication date: 3 June 2013

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949655.2011.613396

zbMATH Keywords

EM algorithmsurvival analysismissing datacure rate

Mathematics Subject Classification ID

Estimation in survival analysis and censored data (62N02)

Related Items (6)

Lognormal lifetimes and likelihood-based inference for flexible cure rate models based on COM-Poisson family ⋮ The Weibull-Conway-Maxwell-Poisson distribution to analyze survival data ⋮ On bootstrap testing inference in cure rate models ⋮ Semiparametric Bayesian estimation of quantile function for breast cancer survival data with cured fraction ⋮ Risk-adjusted monitoring of time to event in the presence of long-term survivors ⋮ Log-symmetric models with cure fraction with application to leprosy reactions data

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• Monte Carlo EM for Missing Covariates in Parametric Regression Models
• Semiparametric Models for Missing Covariate and Response Data in Regression Models
• Cure rate models: A unified approach
• Maximum likelihood estimation in random effects cure rate models with nonignorable missing covariates

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