Eliminating bias due to censoring in Kendall's tau estimators for quasi-independence of truncation and failure

DOI10.1016/j.csda.2013.11.018zbMath1506.62015OpenAlexW2048654751WikidataQ41814205 ScholiaQ41814205MaRDI QIDQ1623422

Matthew D. Austin, Rebecca A. Betensky

Publication date: 23 November 2018

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

Full work available at URL: http://europepmc.org/articles/pmc3912250

zbMATH Keywords

left truncationinverse probability weighting

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Applications of statistics to biology and medical sciences; meta analysis (62P10) Nonparametric estimation (62G05) Estimation in survival analysis and censored data (62N02)

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