Missing value imputation in longitudinal measures of alcohol consumption.

  title={Missing value imputation in longitudinal measures of alcohol consumption.},
  author={Ulrike Grittner and Gerhard Gmel and Samuli Ripatti and Kim Bloomfield and Matthias Wicki},
  journal={International journal of methods in psychiatric research},
  volume={20 1},
Attrition in longitudinal studies can lead to biased results. The study is motivated by the unexpected observation that alcohol consumption decreased despite increased availability, which may be due to sample attrition of heavy drinkers. Several imputation methods have been proposed, but rarely compared in longitudinal studies of alcohol consumption. The imputation of consumption level measurements is computationally particularly challenging due to alcohol consumption being a semi‐continuous… CONTINUE READING
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IVEware: Imputation and Variance Estimation Software Users Guide

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