Some Tests for Comparing Cumulative Incidence Functions and Cause-Specific Hazard Rates

DOI10.2307/2290925zbMath0804.62091OpenAlexW4242070728MaRDI QIDQ4314918

Ian W. McKeague, Emad-Eldin A. A. Aly, Subhash C. Kochar

Publication date: 1 December 1994

Full work available at URL: https://doi.org/10.2307/2290925

zbMATH Keywords

simulation studycounting processesright-censored dataordered alternativescancer mortalityreliability testingcause-specific hazard ratescomparing cumulative incidence functionscompeting risks problemdistribution- free testsreticulum cell carcinomathymic lymphomatimes and causes of failureuncensored

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items (27)

Consistent estimation of distributions with type II bias with applications in competing risks problems. ⋮ Comparing conditional survival functions with missing population marks in a competing risks model ⋮ Comparison of cumulative incidence functions of current status competing risks data with discrete observation times ⋮ Confidence bounds for the joint survival function in the dependent competing risks setup ⋮ Semiparametric estimation based on parametric modeling of the cause-specific hazard ratios in competing risks ⋮ Estimation of cumulative incidence functions in competing risks studies under an order restriction ⋮ Hypotheses Tests of Strain-specific Vaccine Efficacy Adjusted for Covariate Effects ⋮ Saddlepointp-values for a class of tests for comparing competing risks with censored data ⋮ Generalized nonparametric test procedures for comparing multiple cause-specific hazard rates ⋮ Testing and Estimation of Time‐Varying Cause‐Specific Hazard Ratios with Covariate Adjustment ⋮ Bootstrapping Aalen-Johansen processes for competing risks: handicaps, solutions, and limitations ⋮ Conditional tests in a competing risks model ⋮ Score tests for independence in parametric competing risks models ⋮ Nonparametric inference under competing risks and selection-biased sampling ⋮ A quantile based test for comparing cumulative incidence functions of competing risks models ⋮ Restricted tests for testing independence of time to failure and cause of failure in a competing-risks model ⋮ Likelihood ratio tests for and against ordering of the cumulative incidence functions in multiple competing risks and discrete mark variable models ⋮ Nonparametric tests for cause specific hazard rates with censored data for competing risks among several groups ⋮ Omnibus Tests for Comparison of Competing Risks with Adjustment for Covariate Effects ⋮ Estimation of cumulative incidence functions when the lifetime distributions are uniformly stochastically ordered ⋮ Restricted estimation of the cumulative incidence functions of two competing risks ⋮ On testing independence of failure time and cause of failure using subquantiles ⋮ A \(U\)-statistic test in competing risk models ⋮ On comparing competing risks using the ratio of their cumulative incidence functions ⋮ Nonparametric inference for panel count data with competing risks ⋮ Nondifferentiable errors in beta-compliance integrated logistic models ⋮ The response functions for competing risks

This page was built for publication: Some Tests for Comparing Cumulative Incidence Functions and Cause-Specific Hazard Rates