Generalized Log-Rank Tests for Interval-Censored Failure Time Data

DOI10.1111/j.1467-9469.2005.00414.xzbMath1092.62107OpenAlexW2024727049MaRDI QIDQ5467682

Qiang Zhao, Jianguo Sun, Xingqiu Zhao

Publication date: 24 May 2006

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

Full work available at URL: https://doi.org/10.1111/j.1467-9469.2005.00414.x

zbMATH Keywords

asymptotic normalityscore testsurvival functionmultisample homogeneity test

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Asymptotic properties of nonparametric inference (62G20) Testing in survival analysis and censored data (62N03)

Related Items (14)

A new class of generalized log rank tests for interval-censored failure time data ⋮ Bayesian semiparametric model for spatially correlated interval-censored survival data ⋮ Weighted Wilcoxon-type rank test for interval censored data ⋮ Testing the proportional odds model for interval-censored data ⋮ Nonparametric estimation of waiting time distributions in a Markov model based on current status data ⋮ Firth adjustment for Weibull current-status survival analysis ⋮ Non parametric Bayesian analysis of the two-sample problem with censoring ⋮ A two-sample parametric test for partly interval-censored data with nonproportional hazard ⋮ Analysis of interval censored failure time data with competing risk ⋮ Saddlepoint approximations for rank‐invariant permutation tests and confidence intervals with interval‐censoring ⋮ Hazard ratio estimation for two‐sample case under interval‐censored failure time data ⋮ Nonparametric tests for left-truncated and interval-censored data ⋮ A comparative study of two-sample tests for interval-censored data ⋮ A generalized Fleming and Harrington's class of tests for interval-censored data

Cites Work

• Nonparametric likelihood ratio goodness-of-fit tests for survival data
• Weak convergence and empirical processes. With applications to statistics
• A Nonparametric Test for Current Status Data With Unequal Censoring
• An EM Algorithm for Smoothing the Self‐consistent Estimator of Survival Functions with Interval‐censored Data
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