A semi-parametric generalization of the Cox proportional hazards regression model: inference and applications

DOI10.1016/j.csda.2010.06.010zbMath1247.62247OpenAlexW1972934897WikidataQ42375045 ScholiaQ42375045MaRDI QIDQ452657

Karthik Devarajan, Nader Ebrahimi

Publication date: 15 September 2012

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc2976538

zbMATH Keywords

Akaike information criterionmaximum likelihoodfrailty modelWeibull distributionextreme value distributionregressioncensored survival data analysiscrossing hazardsspline function

Mathematics Subject Classification ID

Censored data models (62N01) Statistics of extreme values; tail inference (62G32) Estimation in survival analysis and censored data (62N02)

Related Items

Bandwidth selection in marker dependent kernel hazard estimation ⋮ On penalized likelihood estimation for a non-proportional hazards regression model ⋮ Stratified additive Poisson models: computational methods and applications in clinical epidemi\-ology ⋮ Least squares type estimation for Cox regression model and specification error ⋮ Bayes factors for choosing among six common survival models ⋮ Bayesian Spatial Survival Models ⋮ Calculation of changes in life expectancy based on proportional hazards model of an intervention ⋮ General Model for Reliability-Based Engineering Design ⋮ A semiparametric generalized proportional hazards model for right-censored data

Uses Software

• R
• IMSL Numerical Libraries

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Heterogeneity and varying effect in hazards regression
• Analysis of multivariate survival data
• Sequential estimation for semiparametric models with application to the proportional hazards model
• On Heteroscedastic Hazards Regression Models: Theory and Application
• Testing Goodness of Fit for Proportional Hazards Model with Censored Observations
• Testing for Covariate Effect in the Cox Proportional Hazards Regression Model
• Proportional hazards tests and diagnostics based on weighted residuals
• Hazard Function Estimation Using B-Splines
• A Regression Survival Model for Testing the Proportional Hazards Hypothesis
• Predicting Survival Probabilities With Semiparametric Transformation Models
• Spline-Based Tests in Survival Analysis
• A practical guide to splines.