Censored Data Modeling is a statistical modeling approach that accounts for incomplete or partially observed data outcomes by incorporating the mechanistic structure of censoring processes, distinguishing it from standard survival or regression models that assume fully observed responses.
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The EM Algorithm and Extensions
Debashis Kushary, Geoffrey J. McLachlan, Thriyambakam Krishnan · Technometrics · 1998 · 5.1K citations
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Harvard University
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University of North Carolina at Chapel Hill
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University of Washington
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Cancer Research And Biostatistics
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University of Michigan
Ann Arbor, United States
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