Competing risks regression with dependent multiple spells: Monte Carlo evidence and an application to maternity leave

DOI10.1007/s42081-021-00110-6zbMath1478.62296OpenAlexW3134661080MaRDI QIDQ2068943

Simon M. S. Lo, Cäcilia Lipowski, Shuolin Shi, Ralf A. Wilke

Publication date: 20 January 2022

Published in: Japanese Journal of Statistics and Data Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s42081-021-00110-6

zbMATH Keywords

copulacompeting risksmaternity leaverepeated occurrences

Mathematics Subject Classification ID

Applications of statistics to economics (62P20) Characterization and structure theory for multivariate probability distributions; copulas (62H05) Estimation in survival analysis and censored data (62N02)

Related Items (7)

Inferences on cumulative incidence function for middle censored survival data with Weibull regression ⋮ A single risk approach to the semiparametric competing risks model with parametric Archimedean risk dependence ⋮ Unnamed Item ⋮ Unnamed Item ⋮ Unnamed Item ⋮ Special feature: Recent statistical methods for survival analysis ⋮ Multivariate failure time distributions derived from shared frailty and copulas

Uses Software

• cmprsk

Cites Work

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• Likelihood Ratio Tests for Model Selection and Non-Nested Hypotheses
• An introduction to copulas.
• Survival analysis with correlated endpoints. Joint frailty-copula models
• A nested copula duration model for competing risks with multiple spells
• Asymptotic efficiency of the two-stage estimation method for copula-based models
• Copula Modeling: An Introduction for Practitioners
• Practical methods for competing risks data: A review
• Inference based on the EM algorithm for the competing risks model with masked causes of failure
• Estimation in the piece-wise constant hazard rate model
• A Proportional Hazards Model for the Subdistribution of a Competing Risk
• Estimates of marginal survival for dependent competing risks based on an assumed copula
• Profile likelihood approaches for semiparametric copula and frailty models for clustered survival data
• Copula-graphic estimation with left-truncated and right-censored data
• A Regression Model for the Copula-Graphic Estimator
• A copula-graphic estimator for the conditional survival function under dependent censoring
• A martingale approach to the copula-graphic estimator for the survival function under dependent censoring

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