A method for checking regression models in survival analysis based on the risk score

DOI10.1007/BF00127305zbMath0884.62116OpenAlexW2038638511WikidataQ52314719 ScholiaQ52314719MaRDI QIDQ1366899

Ørnulf Borgan, Jon Ketil Grønnesby

Publication date: 5 April 1998

Published in: Lifetime Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/bf00127305

zbMATH Keywords

Cox regressioncounting processesstochastic simulationsemiparametricAalen regressionmartingale residual processesnonparametric linear modelsprimary biliary cirrhosis of the liver

Mathematics Subject Classification ID

Density estimation (62G07) Applications of statistics to biology and medical sciences; meta analysis (62P10) Inference from stochastic processes (62M99)

Related Items (3)

Risk models for breast cancer and their validation ⋮ On Goodness-of-Fit Tests for Aalen's Additive Risk Model ⋮ Model checks for Cox-type regression models based on optimally weighted martingale residuals

Uses Software

• alr3

Cites Work

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• Goodness of fit tests in models for life history data based on cumulative hazard rates
• Martingale-based residuals for survival models
• Best Subsets Logistic Regression
• Robust Locally Weighted Regression and Smoothing Scatterplots
• Chi-squared goodness-of-fit tests for the proportional hazards regression model
• Testing Covariate Effects in Aalen’s Linear Hazard Model
• Checking the Cox model with cumulative sums of martingale-based residuals
• Semiparametric analysis of the additive risk model
• A partly parametric additive risk model
• Statistical models based on counting processes

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