A joint modeling approach for multivariate survival data with random length
DOI10.1111/biom.12588zbMath1372.62077OpenAlexW2529633774WikidataQ31134849 ScholiaQ31134849MaRDI QIDQ5283330
Shuling Liu, Amita K. Manatunga, Michele Marcus, Limin Peng
Publication date: 21 July 2017
Published in: Biometrics (Search for Journal in Brave)
Full work available at URL: http://europepmc.org/articles/pmc5801737
joint modelssemiparametric transformation modelClayton-Oakes modelapproximate EM algorithmmenstrual cycle lengthrandom length datatime-to-pregnancy
Applications of statistics to biology and medical sciences; meta analysis (62P10) Characterization and structure theory for multivariate probability distributions; copulas (62H05) Reliability and life testing (62N05)
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