On Testing Dependence between Time to Failure and Cause of Failure via Conditional Probabilities

DOI10.1111/J.1467-9469.2004.00374.XzbMath1053.62113OpenAlexW2041046745MaRDI QIDQ4828228

Jayant V. Deshpande, Sangita Kulathinal, Isha Dewan

Publication date: 24 November 2004

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

Full work available at URL: https://doi.org/10.1111/j.1467-9469.2004.00374.x

zbMATH Keywords

asymptotic relative efficiencysurvival datalatent lifetime

Mathematics Subject Classification ID

Asymptotic properties of nonparametric inference (62G20) Testing in survival analysis and censored data (62N03)

Related Items (15)

Comparing relative importance of the same component in a series system in two environments ⋮ 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 ⋮ U-Statistics for left truncated and right censored data ⋮ 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 ⋮ Testing dependence between the failure time and failure modes: an application of enlarged filtration ⋮ Competing risks for repairable systems: a data study ⋮ Modelling of dependence between critical failure and preventive maintenance: the repair alert model ⋮ Testing an Exponential Delay Time Model Against an Intensity Proportional Repair Alert Model ⋮ NONPARAMETRIC ESTIMATION OF CONDITIONAL CUMULATIVE HAZARDS FOR MISSING POPULATION MARKS ⋮ Generalized random sign and alert delay models for imperfect maintenance ⋮ Inverse Probability of Censoring Weighted U-statistics for Right-Censored Data with an Application to Testing Hypotheses ⋮ On testing independence of failure time and cause of failure using subquantiles ⋮ A non-parametric test for independence of time to failure and cause of failure for discrete competing risks data

Cites Work

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• Testing equality of cause-specific hazard rates corresponding to \(m\) competing risks among \(K\) groups
• Analysis of Competing Risks by Using Bayesian Smoothing
• Approximation Theorems of Mathematical Statistics

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