Health & Environmental Research Online (HERO)


Print Feedback Export to File
5029245 
Book/Book Chapter 
Chapter 13: Recovering missing or partial data from studies : a survey of conversions and imputations for meta-analysis 
Lajeunesse, MJ 
2013 
Princeton University Press 
Princeton, NJ 
Handbook of Meta-analysis in Ecology and Evolution 
English 
is part of a larger document 5029185 Handbook of Meta-analysis in Ecology and Evolution
This chapter discusses possible solutions for dealing with partial information and missing data from published studies. These solutions can improve the amount of information extracted from individual studies, and increase the representation of data for meta-analysis. It begins with a description of the mechanisms that generate missing information within studies, followed by a discussion of how gaps of information can influence meta-analysis and the way studies are quantitatively reviewed. It then suggests some practical solutions to recovering missing statistics from published studies. These include statistical acrobatics to convert available information (e.g., t-test) into those that are more useful to compute effect sizes, as well as a heuristic approaches that impute (fill gaps) missing information when pooling effect sizes. Finally, the chapter discusses multiple-imputation methods that account for the uncertainty associated with filling gaps of information when performing meta-analysis.