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Informative Censoring Addressing Bias in Effect Estimates Due to Study Drop-out

Informative Censoring Addressing Bias in Effect Estimates Due to Study Drop-out. Mark van der Laan and Maya Petersen Division of Biostatistics, University of California, Berkeley. van der Laan Lab graphic: L. Co. Overview. What is informative censoring and how can it lead to bias?

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Maya petersen division - PowerPoint PPT Presentation

Informative Censoring Addressing Bias in Effect Estimates Due to Study Drop-out