Non‐parametric Tests for Censored Data

DOI10.1002/9781118558072zbMath1291.62020OpenAlexW2505983392MaRDI QIDQ3067751

Julius Kruopis, Vilijandas B. Bagdonavičius, Mikhail S. Nikulin

Publication date: 13 January 2011

Full work available at URL: https://doi.org/10.1002/9781118558072

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Research exposition (monographs, survey articles) pertaining to statistics (62-02) Testing in survival analysis and censored data (62N03)

Related Items (15)

Unnamed Item ⋮ Chi-Squared Type Test for the AFT-Generalized Inverse Weibull Distribution ⋮ Modeling and analysis of data with confounding covariates and crossing of the hazard functions ⋮ Wild bootstrap logrank tests with broader power functions for testing superiority ⋮ The new robust two-sample test for randomly right-censored data ⋮ A Kernel Log-Rank Test of Independence for Right-Censored Data ⋮ Goodness-of-fit test for hazard rate ⋮ More powerful logrank permutation tests for two-sample survival data ⋮ On chi-squared type tests and their applications in survival analysis and reliability ⋮ Asymptotic analysis of a new dynamic semiparametric regression model with cross-effects of survivals ⋮ Exact goodness-of-fit tests for shape-scale families and type II censoring ⋮ A Bayesian estimation on right censored survival data with mixture and non-mixture cured fraction model based on Beta-Weibull distribution ⋮ The Cucconi statistic for type-I censored data ⋮ Chi-Squared Goodness-of-Fit Tests for Parametric Accelerated Failure Time Models ⋮ Burn-in Procedure Based on a Dependent Covariate Process

This page was built for publication: Non‐parametric Tests for Censored Data