Pseudo-value approach for conditional quantile residual lifetime analysis for clustered survival and competing risks data with applications to bone marrow transplant data

DOI10.1214/16-AOAS927zbMath1400.62224OpenAlexW2497802079WikidataQ45112093 ScholiaQ45112093MaRDI QIDQ312897

Brent R. Logan, Kwang Woo Ahn

Publication date: 9 September 2016

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

Full work available at URL: https://projecteuclid.org/euclid.aoas/1469199887

zbMATH Keywords

clustered dataresidual lifetimepseudo-value

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to biology and medical sciences; meta analysis (62P10) Reliability and life testing (62N05)

Related Items (1)

Pseudo-value approach for conditional quantile residual lifetime analysis for clustered survival and competing risks data with applications to bone marrow transplant data

Cites Work

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