Testing quasi-independence for doubly truncated data

DOI10.1080/10485252.2011.564280zbMath1284.62619OpenAlexW2008166694MaRDI QIDQ3106421

Pao-sheng Shen

Publication date: 21 December 2011

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

Full work available at URL: https://doi.org/10.1080/10485252.2011.564280

zbMATH Keywords

Kendall's taudouble truncationweighted log-rank

Mathematics Subject Classification ID

Asymptotic properties of nonparametric inference (62G20) Applications of statistics to biology and medical sciences; meta analysis (62P10) Censored data models (62N01) Applications of statistics to physics (62P35) Testing in survival analysis and censored data (62N03) Reliability and life testing (62N05)

Related Items (3)

Weighted rank estimation for nonparametric transformation models with doubly truncated data ⋮ Asymptotic inference for maximum likelihood estimators under the special exponential family with double-truncation ⋮ Likelihood-based analysis of doubly-truncated data under the location-scale and AFT model

Cites Work

• Nonparametric analysis of doubly truncated data
• Testing quasi-independence for truncation data
• Differentiability of statistical functionals and consistency of the jackknife
• Testing the assumption of independence of truncation time and failure time
• Estimating survival under a dependent truncation
• Bootstrapping the NPMLE for doubly truncated data
• Frank's family of bivariate distributions
• Bivariate Survival Models Induced by Frailties
• Inference Based on Retrospective Ascertainment: An Analysis of the Data on Transfusion-Related AIDS
• A model for association in bivariate life tables and its application in epidemiological studies of familial tendency in chronic disease incidence
• Asymptotic Statistics
• A Semiparametric Extension of the Mann-Whitney Test for Randomly Truncated Data
• The Product-Moment Correlation Coefficient and Linear Regression for Truncated Data
• Nonparametric Methods for Doubly Truncated Data
• Testing Quasi-Independence of Failure and Truncation Times via Conditional Kendall's Tau
• Estimating a distribution function with truncated data

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