Nonparametric estimation and test of conditional Kendall's tau under semi-competing risks data and truncated data

DOI10.1080/02664763.2015.1004624OpenAlexW1976221626MaRDI QIDQ5130276

Jin-Jian Hsieh, Wei-Cheng Huang

Publication date: 4 November 2020

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

Full work available at URL: https://figshare.com/articles/journal_contribution/Nonparametric_estimation_and_test_of_conditional_Kendall_s_tau_under_semi_competing_risks_data_and_truncated_data/1294798

zbMATH Keywords

truncated dataquasi-independenceconditional Kendall's tausemi-competing risks dataIPCW

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (1)

On kernel-based estimation of conditional Kendall's tau: finite-distance bounds and asymptotic behavior

Cites Work

• Survival analysis. Techniques for censored and truncated data.
• The jackknife and bootstrap
• On semi-competing risks data
• Testing the assumption of independence of truncation time and failure time
• Estimating survival under a dependent truncation
• Estimating the Association Parameter for Copula Models Under Dependent Censoring
• Estimating Survival and Association in a Semicompeting Risks Model
• Testing Quasi-Independence of Failure and Truncation Times via Conditional Kendall's Tau
• A NEW MEASURE OF RANK CORRELATION
• A Generalization of Sampling Without Replacement From a Finite Universe

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