Testing equality of survival distributions when the population marks are missing

DOI10.1016/j.jspi.2007.06.028zbMath1131.62033OpenAlexW2092199320WikidataQ41769987 ScholiaQ41769987MaRDI QIDQ2480025

Dipankar Bandyopadhyay, Somnath Datta

Publication date: 28 March 2008

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc2763397

zbMATH Keywords

asymptotic normalitymultistate modelslog-rank testsequality of survival curvesfractional at-risk set

Mathematics Subject Classification ID

Related Items (3)

On Competing Risks with Masked Failures ⋮ Comparing conditional survival functions with missing population marks in a competing risks model ⋮ NONPARAMETRIC ESTIMATION OF CONDITIONAL CUMULATIVE HAZARDS FOR MISSING POPULATION MARKS

Cites Work

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• Nonparametric inference for a family of counting processes
• Estimating future stage entry and occupation probabilities in a multistage model based on randomly right-censored data
• Kaplan-Meier representation of competing risk estimates
• Restricted tests for testing independence of time to failure and cause of failure in a competing-risks model
• Nonparametric Estimation for the Three‐Stage Irreversible Illness–Death Model
• On Testing Dependence between Time to Failure and Cause of Failure via Conditional Probabilities
• Statistical models based on counting processes

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