Efficient Semiparametric Estimation of Short‐Term and Long‐Term Hazard Ratios with Right‐Censored Data

DOI10.1111/biom.12097zbMath1291.62176arXiv1206.0980OpenAlexW1915931281WikidataQ30712867 ScholiaQ30712867MaRDI QIDQ5408001

Song Yang, Guoqing Diao, Donglin Zeng

Publication date: 8 April 2014

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1206.0980

zbMATH Keywords

proportional hazards modelproportional odds modelsemiparametric efficiencynonparametric likelihoodsemiparametric hazards rate model

Mathematics Subject Classification ID

Related Items (7)

Estimating Monotonic Hazard Ratio Functions of Time ⋮ A Non‐Proportional Hazards Model with Hazard Ratio Functions Free from Covariate Values ⋮ An extended semiparametric model for short-term and long-term hazard ratios ⋮ Yang and Prentice model with piecewise exponential baseline distribution for modeling lifetime data with crossing survival curves ⋮ A class of semiparametric cure models with current status data ⋮ Bayes factors for choosing among six common survival models ⋮ Maximum likelihood estimation in transformed linear regression with nonnormal errors

Uses Software

• timereg

Cites Work

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• Nonparametric survival analysis with time-dependent covariate effects: A penalized partial likelihood approach
• Time-dependent coefficients in a Cox-type regression model
• Modeling survival data: extending the Cox model
• Analysis of multivariate survival data
• Robust inference for univariate proportional hazards frailty regression models
• A general transformation class of semiparametric cure rate frailty models
• Dynamic regression models for survival data.
• Weighted Breslow-type and maximum likelihood estimation in semiparametric transformation models
• Checking the Cox model with cumulative sums of martingale-based residuals
• Semi-Parametric Estimation in Failure Time Mixture Models
• Maximum Likelihood Estimation in the Proportional Odds Model
• Efficient Estimation of Fixed and Time‐varying Covariate Effects in Multiplicative Intensity Models
• Local Linear Estimation for Time‐Dependent Coefficients in Cox's Regression Models
• On Profile Likelihood
• Iterated Residuals and Time-Varying Covariate Effects in Cox Regression
• A Proportional Hazards Model Taking Account of Long-Term Survivors
• Estimation in a Cox Proportional Hazards Cure Model
• Semiparametric Efficient Estimation for a Class of Generalized Proportional Odds Cure Models
• Semiparametric analysis of short-term and long-term hazard ratios with two-sample survival data
• Survival analysis with temporal covariate effects
• A Family of Variable-Metric Methods Derived by Variational Means
• The Convergence of a Class of Double-rank Minimization Algorithms
• A new approach to variable metric algorithms
• Parameter Selection for Modified Newton Methods for Function Minimization
• Multivariate survival models induced by genetic frailties, with application to linkage analysis
• Score tests of genetic association in the presence of linkage based on the additive genetic gamma frailty model
• On the Cox Model With Time-Varying Regression Coefficients

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