Semiparametric estimation of single‐index hazard functions without proportional hazards

DOI10.1111/j.1368-423X.2006.00174.xzbMath1088.62114MaRDI QIDQ5469917

Tue Gørgens

Publication date: 26 May 2006

Published in: The Econometrics Journal (Search for Journal in Brave)

zbMATH Keywords

kernel regressionsurvival analysissemiparametric estimationcensoringcompeting risksduration analysisfailure time analysis

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Density estimation (62G07) Nonparametric estimation (62G05) Estimation in survival analysis and censored data (62N02)

Related Items (1)

Versatile estimation in censored single-index hazards regression

Cites Work

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• Non-parametric analysis of a generalized regression model. The maximum rank correlation estimator
• Semiparametric least squares (SLS) and weighted SLS estimation of single-index models
• Semiparametric estimation of a censored regression model with an unknown transformation of the dependent variable
• On average derivative quantile regression
• On a semiparametric survival model with flexible covariate effect
• AVERAGE DERIVATIVES FOR HAZARD FUNCTIONS
• Convergence of stochastic processes
• Statistical models based on counting processes
• Two-stage rank estimation of quantile index models

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