A nonparametric two-sample test of the failure function with interval censoring case 2

DOI10.1093/biomet/88.3.677zbMath0985.62035OpenAlexW2066792009MaRDI QIDQ2774525

Wei Liu, Ying Zhang, Yihui Zhan

Publication date: 23 May 2002

Published in: Biometrika (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1093/biomet/88.3.677

zbMATH Keywords

asymptotic normalityMonte Carlolikelihood ratio testinterval censoringfailure functionnonparametric maximum pseudolikelihood estimator

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Censored data models (62N01) Monte Carlo methods (65C05) Testing in survival analysis and censored data (62N03)

Related Items (14)

Nonparametric estimation of waiting time distributions in a Markov model based on current status data ⋮ A spline-based nonparametric analysis for interval-censored bivariate survival data ⋮ Nonparametric identification and estimation of current status data in the presence of death ⋮ A class of multi-sample nonparametric tests for panel count data ⋮ A Nonparametric Test for Interval-Censored Failure Time Data with Unequal Censoring ⋮ Semiparametric efficient estimation for additive hazards regression with case II interval-censored survival data ⋮ A transformation approach for the analysis of interval-censored failure time data ⋮ Hazard ratio estimation for two‐sample case under interval‐censored failure time data ⋮ Consistency of the generalized MLE of a joint distribution function with multivariate interval-censored data ⋮ A Class of Two-Sample Nonparametric Tests for Panel Count Data ⋮ New multi-sample nonparametric tests for panel count data ⋮ A simple nonparametric two-sample test for the distribution function of event time with interval censored data ⋮ Likelihood Ratio Type Two-Sample Tests for Current Status Data ⋮ Nonparametric inference based on panel count data

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