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A joint modeling approach for multivariate survival data with random length
Authors:Shuling Liu  Amita K. Manatunga  Limin Peng  Michele Marcus
Affiliation:1. Department of Biotatistics and Bioinformatics, Emory University, Atlanta, Georgia, U.S.A.;2. Department of Epidemiology, Emory University, Atlanta, Georgia, U.S.A.
Abstract:
Keywords:Approximate EM algorithm  Clayton–  Oakes model  Joint models  Menstrual cycle length  Random length data  Semi‐parametric transformation model  Time‐to‐pregnancy
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