A Diagnostic for Cox Regression with Discrete Failure‐Time Models

DOI10.1111/J.0006-341X.2000.0996.XzbMath1060.62563OpenAlexW2065552487WikidataQ73525968 ScholiaQ73525968MaRDI QIDQ4670450

Corette B. Parker, Elizabeth Ray Delong

Publication date: 22 April 2005

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/j.0006-341x.2000.0996.x

zbMATH Keywords

partial likelihoodCox regressionNewton-Raphsonrobust estimationregression diagnosticsconditional likelihoodjackknife methodsone-step approximationaugmentation matrixdelete-one statisticsdiscrete failure-time models

Mathematics Subject Classification ID

Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Applications of statistics to biology and medical sciences; meta analysis (62P10) Estimation in survival analysis and censored data (62N02)

Related Items (1)

Influence diagnostics for random effect survival models: application to a recurrent infection study for kidney patients on portable dialysis

Cites Work

• Logistic regression diagnostics
• Partial likelihood
• Conditional Logistic Regression with Sandwich Estimators: Application to a Meta-Analysis
• Jackknife Estimators of Variance for Parameter Estimates from Estimating Equations with Applications to Clustered Survival Data

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