Goodness-of-fit tests for the Cox model via bootstrap method

DOI10.1016/0378-3758(95)00141-UzbMath0845.62070OpenAlexW2032885717MaRDI QIDQ1907635

Murray D. Burke, Kam-Chuen Yuen

Publication date: 13 February 1996

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0378-3758(95)00141-u

zbMATH Keywords

bootstrappartial likelihoodempirical processCox modelStanford heart transplant datacensored survival datacumulative hazard processasymptotic covariance structurediscrete covariatesGaussian process limitglobal goodness-of-fit tests

Mathematics Subject Classification ID

Asymptotic properties of parametric estimators (62F12) Applications of statistics to biology and medical sciences; meta analysis (62P10) Inference from stochastic processes (62M99)

Related Items (5)

On the mean residual life regression model ⋮ Goodness-of-fit tests for conditional models under censoring and truncation ⋮ A test for a parametric form of the volatility in second-order diffusion models ⋮ Resampling Methods for Testing a Semiparametric Random Censorship Model ⋮ An empirical study of a test for polynomial relationships in randomly right censored regression models

Uses Software

• bootstrap

Cites Work

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• Approximation of empirical fields, constructed with respect to vector observations with dependent components
• Cox's regression model for counting processes: A large sample study
• An asymptotic theory for empirical reliability and concentration processes
• Theoretical comparison of bootstrap confidence intervals
• A large sample study of Cox's regression model
• The bootstrapped maximum likelihood estimator with an application
• A large sample study of the life table and product limit estimates under random censorship
• On large deviations of the empiric D.F. of vector chance variables and a law of the iterated logarithm
• Some Diagnostic Methods for Cox Regression Models Through Hazard Smoothing
• Score Tests for Homogeneity of Regression Effect in the Proportional Hazards Model
• Testing Goodness of Fit for Proportional Hazards Model with Censored Observations
• BOOTSTRAPPED MULTI-DIMENSIONAL PRODUCT LIMIT PROCESS
• A simple test of the proportional hazards assumption
• Variance stabilization and the bootstrap
• Chi-squared goodness-of-fit tests for the proportional hazards regression model
• Censored Data and the Bootstrap
• Testing Goodness of Fit of Cox's Regression and Life Model
• Regression with censored data
• On the Edgeworth expansion and bootstrap approximation for the cox regression model under random censorship
• Partial likelihood
• Confidence Bands for the Median Survival Time as a Function of the Covariates in the Cox Model

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