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Sufficient dimension reduction for censored predictors
Authors:Diego Tomassi  Liliana Forzani  Efstathia Bura  Ruth Pfeiffer
Affiliation:1. Facultad de Ingenieria Quimica, Universidad Nacional del Litoral, Researcher of CONICET, Santa Fe, Argentina;2. Department of Statistics, George Washington University, Washington, DC 20052, U.S.A.;3. Biostatistics Branch, National Cancer Institute, Bethesda, Maryland 20892, U.S.A.
Abstract:
Keywords:Informative missingness  Limits of detection  Missing data  Penalized likelihood  Shrinkage
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