Nonparametric inference for the cumulative incidence function of a competing risk, with an emphasis on confidence bands in the presence of left-truncation

DOI10.1002/bimj.201100161zbMath1251.62009OpenAlexW1555794260WikidataQ45747135 ScholiaQ45747135MaRDI QIDQ2912013

Martin Schumacher, Jan Beyersmann, Susanna Di Termini, Stefanie Hieke

Publication date: 13 September 2012

Published in: Biometrical Journal (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/bimj.201100161

zbMATH Keywords

wild bootstrapmultistate modelabortiondelayed study entry

Mathematics Subject Classification ID

Nonparametric estimation (62G05) Censored data models (62N01) Nonparametric tolerance and confidence regions (62G15)

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Two-sample tests of the equality of two cumulative incidence functions
• Bootstrap, wild bootstrap, and asymptotic normality
• Random truncation models and Markov processes
• A Note on Variance Estimation of the Aalen-Johansen Estimator of the Cumulative Incidence Function in Competing Risks, with a View towards Left-Truncated Data
• Cause-Specific Cumulative Incidence Estimation and the Fine and Gray Model Under Both Left Truncation and Right Censoring
• Nonparametric Estimation in a Cure Model with Random Cure Times
• Competing Risks and Multistate Models with R
• Application of multistate models in hospital epidemiology: Advances and challenges
• Statistical models based on counting processes

This page was built for publication: Nonparametric inference for the cumulative incidence function of a competing risk, with an emphasis on confidence bands in the presence of left-truncation