Permutation tests for general dependent truncation

DOI10.1016/J.CSDA.2018.07.012zbMath1469.62044OpenAlexW2883295634WikidataQ90909759 ScholiaQ90909759MaRDI QIDQ1796961

Sy Han Chiou, Elizabeth Mormino, Jing Qian, Rebecca A. Betensky

Publication date: 17 October 2018

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2018.07.012

zbMATH Keywords

Kendall's tauquasi-independencemonotone dependenceminimally selected test

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Nonparametric hypothesis testing (62G10) Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items (4)

Testing Independence Under Biased Sampling ⋮ Methods for checking the Markov condition in multi-state survival data ⋮ Conditional maximum likelihood estimation for semiparametric transformation models with doubly truncated data ⋮ Semiparametric likelihood inference for heterogeneous survival data under double truncation based on a Poisson birth process

Uses Software

• survival
• depend.truncation
• tranSurv
• HHG
• permDep

Cites Work

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• Nonparametric maximum likelihood estimation for dependent truncation data based on copulas
• An algorithm for estimating survival under a copula-based dependent truncation model
• Semiparametric inference for an accelerated failure time model with dependent truncation
• Testing quasi-independence for truncation data
• On the exact distribution of maximally selected rank statistics
• Modeling survival data: extending the Cox model
• Eliminating bias due to censoring in Kendall's tau estimators for quasi-independence of truncation and failure
• Survival analysis. Techniques for censored and truncated data.
• Random truncation models and Markov processes
• Semiparametric estimation of marginal mark distribution
• Testing the assumption of independence of truncation time and failure time
• Semiparametric maximum likelihood estimation in normal transformation models for bivariate survival data
• Estimating survival under a dependent truncation
• A note on the product-limit estimator under right censoring and left truncation
• Nonparametric analysis of truncated survival data, with application to AIDS
• Maximally Selected Chi Square Statistics
• Nonparametric Estimation from Cross-Sectional Survival Data
• Nonparametric tests of the Markov model for survival data
• Rank invariant tests with left truncated and interval censored data
• Survival Analysis of the Gamma-Ray Burst Data
• The Product-Moment Correlation Coefficient and Linear Regression for Truncated Data
• Maximally Selected x² Statistics for k× 2 Tables
• Minimally Selected P and Other Tests for A Single Abrupt Changepoint in A Binary Sequence
• Approximating the Distribution of Maximally Selected McNemar's Statistics
• Nonparametric tests for left-truncated and interval-censored data
• Non-strange weird resampling for complex survival data
• A consistent multivariate test of association based on ranks of distances
• Testing Quasi-Independence of Failure and Truncation Times via Conditional Kendall's Tau
• Estimating a distribution function with truncated data
• Optimally selected chi square statistics for equivalence testing

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