Missing predictors in models of effect size.

  title={Missing predictors in models of effect size.},
  author={Therese D. Pigott},
  journal={Evaluation & the health professions},
  volume={24 3},
Missing data occur frequently in meta-analysis. Reviewers inevitably face decisions about how to handle missing data, especially when predictors in a model of effect size are missing from some of the identified studies. Commonly used methods for missing data such as complete case analysis and mean substitution often yield biased estimates. This article briefly reviews the particular problems missing predictors cause in a meta-analysis, discusses the properties of commonly used missing data… CONTINUE READING

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