Two-Sample Tests of Cramér--von Mises- and Kolmogorov--Smirnov-Type for Randomly Censored Data
From MaRDI portal
Publication:3685845
DOI10.2307/1403046zbMath0569.62038OpenAlexW2315593508MaRDI QIDQ3685845
Publication date: 1984
Published in: International Statistical Review / Revue Internationale de Statistique (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.2307/1403046
surveytablesconsistencyBrownian motionMonte Carlo simulationsBrownian bridgeclinical trialtwo-sample problemrandomly censored datacomparisons of testssmall-sample behaviourcomparing censored survival timesgeneralized linear rank testsTest statistics of Cramér-von Mises- and Kolmogorov-Smirnov-type
Related Items (27)
Exact powers of the Wilcoxon test and the logrank test under random censoring ⋮ Free area estimation in a dynamic germ-grain model with renewal dropping process ⋮ Weight calibration to improve efficiency for estimating pure risks from the additive hazards model with the nested case‐control design ⋮ The new robust two-sample test for randomly right-censored data ⋮ A nonparametric test for comparing survival functions based on restricted distance correlation ⋮ A nonparametric comparison of conditional distributions with nonnegligible cure fractions ⋮ Testing the equality among distribution functions from independent and right censored samples via Cramér–von Mises criterion ⋮ The Lq-norm learning for ultrahigh-dimensional survival data: an integrative framework ⋮ Bootstrap and permutation rank tests for proportional hazards under right censoring ⋮ A permutation test for the two-sample right-censored model ⋮ A method of constructing rank tests in survival analysis ⋮ On the estimation of a survival function under a dispersive order constraint ⋮ Survival Analysis in Clinical Trials: Past Developments and Future Directions ⋮ Tests for equality of survival distributions against non-location alternatives ⋮ A weighted cramér-von mises statistic, with some applications to clinical trials ⋮ Adaptive Neyman's smooth tests of homogeneity of two samples of survival data ⋮ The wild bootstrap for multivariate Nelson-Aalen estimators ⋮ ASYMPTOTIC BEHAVIOR OF THE CUSUM OF SQUARES TEST UNDER STOCHASTIC AND DETERMINISTIC TIME TRENDS ⋮ Homogeneity tests based on several progressively type-II censored samples ⋮ Proportional hazards models with continuous marks ⋮ Nonparametric Tests for the Gap Time Distributions of Serial Events Based on Censored Data ⋮ Accelerated Hazards Regression Model and Its Adequacy for Censored Survival Data ⋮ Correlated gamma frailty models for bivariate survival data ⋮ Specification analysis in mixed hazard models and a test of crossing survival functions ⋮ Nonparametric estimation of the survival function from censored data based on relative risk function ⋮ Tables of the cramér-von mises distributions ⋮ Algorithmically generated rodent hepatic vascular trees in arbitrary detail
This page was built for publication: Two-Sample Tests of Cramér--von Mises- and Kolmogorov--Smirnov-Type for Randomly Censored Data
