Restricted tests for testing independence of time to failure and cause of failure in a competing-risks model

DOI10.2307/3315673zbMath0899.62127OpenAlexW2010401435MaRDI QIDQ4399497

Tim Robertson, Subhash C. Kochar, Richard L. Dykstra

Publication date: 18 October 1998

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

Full work available at URL: https://doi.org/10.2307/3315673

zbMATH Keywords

multinomial distributionisotonic regressioncompeting-riskslikelihood-ratio testtesting independencechi-bar-square distributionlikelihood-ratio dependence

Mathematics Subject Classification ID

Asymptotic distribution theory in statistics (62E20) Parametric hypothesis testing (62F03) Reliability and life testing (62N05)

Related Items

On detecting change in likelihood ratio ordering, Comparing conditional survival functions with missing population marks in a competing risks model, Competing risks driven by Mittag-Leffler distributions, under copula and time transformed exponential model, Further properties and new applications of the nested Dirichlet distribution, Testing equality of survival distributions when the population marks are missing, Test for independence between time to failure and cause of failure in competing risks with k causes, NONPARAMETRIC ESTIMATION OF CONDITIONAL CUMULATIVE HAZARDS FOR MISSING POPULATION MARKS, On testing independence of failure time and cause of failure using subquantiles

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