Testing independence of bivariate interval-censored data using modified Kendall's tau statistic

DOI10.1002/bimj.201300162zbMath1386.62034OpenAlexW1951639572WikidataQ30993658 ScholiaQ30993658MaRDI QIDQ2803443

Yuneung Kim, Dohwan Park, Johan Lim

Publication date: 4 May 2016

Published in: Biometrical Journal (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/bimj.201300162

zbMATH Keywords

Kendall's taucurrent status datatesting independencebivariate failure time datacase 2 interval-censored data

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Applications of statistics to biology and medical sciences; meta analysis (62P10) Measures of association (correlation, canonical correlation, etc.) (62H20) Estimation in survival analysis and censored data (62N02)

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• Estimating the Association Parameter for Copula Models Under Dependent Censoring
• Estimation of the Association for Bivariate Interval‐censored Failure Time Data
• The Relation Between Measures of Correlation in the Universe of Sample Permutations

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