@article{bar04imp,
  title = {Imputations of Missing Values in Practice: {{Results}} from Imputations of Serum Cholesterol in 28 Cohort Studies},
  volume = {160},
  journal = {Am J Epi},
  author = {Barzi, Federica and Woodward, Mark},
  year = {2004},
  keywords = {meta-analysis,missing-data,multiple-imputation,bias,review,imputation,cholesterol,coronary-disease,hazard-rate,mortality},
  pages = {34-45},
  citeulike-article-id = {13265381},
  posted-at = {2014-07-14 14:09:55},
  priority = {0},
  annote = {excellent review article for multiple imputation;list of variables to include in imputation model;"Imputation models should ideally include all covariates that are related to the missing data mechanism, have distributions that differ between the respondents and nonrespondents, are associated with cholesterol, and will be included in the analyses of the final complete data sets";detailed comparison of results (cholesterol effect and confidence limits) for various imputation methods}
}

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