Assessing influence on the estimated coefficients efficiency in a Cox regression model

DOI10.1080/00949655.2020.1720986OpenAlexW3004690511MaRDI QIDQ5107771

Rosa Alonso, María del Carmen Pardo

Publication date: 28 April 2020

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949655.2020.1720986

zbMATH Keywords

influenceKullback-Leibler divergenceCox regression modeldeletion diagnostics

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (2)

On a logistic regression model with random intercept: diagnostic analytics, simulation and biological application ⋮ Influence diagnostics for the Cox proportional hazards regression model: method, simulation and applications

Cites Work

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• Checking the Cox model with cumulative sums of martingale-based residuals
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• On Information and Sufficiency

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