Simple nonparametric tests for a known standard survival based on censored data

DOI10.1080/03610928508829035zbMath0585.62080OpenAlexW2008470192MaRDI QIDQ3709648

Constantine A. Gatsonis, Ramesh M. Korwar, Hui K. Hsieh

Publication date: 1985

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610928508829035

zbMATH Keywords

consistencysurvival analysisgoodness-of-fit testproportional hazardLehmann alternativeslung cancerpower comparisonstwo-sample rank testsright-censored observationsdistribution of lifetimesmodifications of Moses' one-sample limitsPitman asymptotic efficiencies

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Asymptotic distribution theory in statistics (62E20) Asymptotic properties of nonparametric inference (62G20) Reliability and life testing (62N05)

Related Items (7)

Generalized hazard-based goodness-of-fit tests for a repairable system ⋮ Model-based likelihood ratio confidence intervals for survival functions ⋮ Model-based confidence bands for survival functions ⋮ Goodness-of-fit-tests for composite hypotheses with censored samples ⋮ Smooth goodness-of-fit tests for composite hypothesis in hazard based models ⋮ Special issue: Papers from the 7th Eugene Lukacs conference on Mathematical statistics and probability theory. Bowling Green State Univ., Bowling Green, OH, USA, April 25--27, 1997 ⋮ Properties of test statistics applied to residuals in failure time models

Cites Work

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• Testing to Determine the Underlying Distribution Using Randomly Censored Data
• Goodness-of-fit tests for randomly censored data
• Rank Tests and a One-Sample Logrank Test for Comparing Observed Survival Data to a Standard Population
• The Power of Rank Tests

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