On testing for a survival ratio under random right censoring

DOI10.1080/10485250500362029zbMath1080.62075OpenAlexW2021727902MaRDI QIDQ3369529

Jean-Yves Dauxois, Syed N. U. A. Kirmani

Publication date: 2 February 2006

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

Full work available at URL: https://doi.org/10.1080/10485250500362029

zbMATH Keywords

asymptotic normalityGaussian processesstochastic orderinggoodness-of-fitcompeting risksKoziol-Green modelhazard rate ordering

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Gaussian processes (60G15) Asymptotic properties of nonparametric inference (62G20) Censored data models (62N01) Testing in survival analysis and censored data (62N03)

Related Items (2)

Restricted estimation of the cumulative incidence functions of two competing risks ⋮ On comparing competing risks using the ratio of their cumulative incidence functions

Cites Work

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• Maximum likelihood estimation of a survival function under the Koziol- Green proportional hazards model
• Stochastically larger component of a random vector
• Testing the Koziol--Green model against monotone conditional odds for censoring.
• Nonparametric Estimation from Incomplete Observations
• Uniform stochastic ordering and related inequalities
• A simple test of the proportional hazards assumption
• Testing to Determine the Underlying Distribution Using Randomly Censored Data
• A quick omnibus test for the proportional hazards model of random censorship
• Testing for the Proportionality of Hazards in Two Samples Against the Increasing Cumulative Hazard Ratio Alternative
• On testing the proportionality of two cumulative incidence functions in a competing risks setup
• Statistical models based on counting processes

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