Test for independence between time to failure and cause of failure in competing risks with k causes

DOI10.1080/10485252.2018.1563699zbMath1431.62100OpenAlexW2907242164MaRDI QIDQ5742399

S. Anjana, Kumar Kattumannil Sudheesh, Isha Dewan

Publication date: 14 May 2019

Published in: Journal of Nonparametric Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/10485252.2018.1563699

zbMATH Keywords

asymptotic propertiescompeting risksright censored datanonparametric testU-statisticPitman efficiency

Mathematics Subject Classification ID

Nonparametric estimation (62G05) Censored data models (62N01) Order statistics; empirical distribution functions (62G30)

Related Items (2)

U-Statistics for left truncated and right censored data ⋮ A non-parametric test for independence of time to failure and cause of failure for discrete competing risks data

Uses Software

• R

Cites Work

• On testing independence of failure time and cause of failure using subquantiles
• Inverse Probability of Censoring Weighted U-statistics for Right-Censored Data with an Application to Testing Hypotheses
• Test for DMRL using censored data
• Restricted tests for testing independence of time to failure and cause of failure in a competing-risks model
• On Testing Dependence between Time to Failure and Cause of Failure via Conditional Probabilities
• A martingale-based test for independence of time to failure and cause of failure for competing risks models
• Multivariate Survival Analysis and Competing Risks
• Consistency and Unbiasedness of Certain Nonparametric Tests
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