Iterated Residuals and Time-Varying Covariate Effects in Cox Regression

DOI10.1111/1467-9868.00397zbMath1065.62173OpenAlexW2075160389WikidataQ57414815 ScholiaQ57414815MaRDI QIDQ4665868

Angela Winnett, Peter D. Sasieni

Publication date: 11 April 2005

Published in: Journal of the Royal Statistical Society Series B: Statistical Methodology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/1467-9868.00397

zbMATH Keywords

smoothingintensity modelstime-varying coefficientsnonproportional hazardsSchoenfeld residuals

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Estimation in survival analysis and censored data (62N02)

Related Items (7)

Adjusted Interim Survival Analysis Under Nonproportional Hazards ⋮ Marginal Regression Model with Time-Varying Coefficients for Panel Data ⋮ Semiparametric Approaches for Joint Modeling of Longitudinal and Survival Data with Time-Varying Coefficients ⋮ A more flexible joint latent model for longitudinal and survival time data ⋮ Efficient Semiparametric Estimation of Short‐Term and Long‐Term Hazard Ratios with Right‐Censored Data ⋮ Local likelihood with time‐varying additive hazards model ⋮ Varying-coefficient model for the occurrence rate function of recurrent events

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Time-dependent coefficients in a Cox-type regression model
• A flexible approach to time-varying coefficients in the Cox regression setting
• Alternative Models for the Analysis of Variance
• The bootstrap and Edgeworth expansion
• Statistical models based on counting processes

This page was built for publication: Iterated Residuals and Time-Varying Covariate Effects in Cox Regression