Defining, Evaluating, and Removing Bias Induced by Linear Imputation in Longitudinal Clinical Trials with MNAR Missing Data

Missing not at random (MNAR) post-dropout missing data from a longitudinal clinical trial result in the collection of "biased data," which leads to biased estimators and tests of corrupted hypotheses. In a full rank linear model analysis the model equation, E[ Y ] = X β, leads to the defin...

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Veröffentlicht in:Journal of biopharmaceutical statistics 2011-03, Vol.21 (2), p.226-251
Hauptverfasser: Helms, Ronald W., Reece, Laura Helms, Helms, Russell W., Helms, Mary W.
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Sprache:eng
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