"Accounting for missing outcome data in meta-analysis"

23nd Cochrane Colloquium, 4 October, Vienna, Austria

Scope of the workshop

  • We present a new method to deal with missing outcome data in meta-analysis (when data is obtained from published reports). 
  • We propose the Informative Missing parameter as a general way to think about missing data -both dichotomous and continuous outcomes. 
  • We present Stata routines to estimate study effect sizes and meta-analytic summary effects accounting for missing data. 

Slides from the workshop can be found here.

A hands-on practical session in Stata (.pdf file) here.

Download a .zip file with the metamiss2 command, the data and log file in Stata here.

Presenters: Georgia Salanti, Anna Chaimani.

Contributors:  Dimitris Mavridis, Ian White, Julian Higgins. 


Mavridis D, White IR, Higgins JPT, Cipriani A, Salanti G. Allowing for uncertainty due to missing continuous outcome data in pair-wise and network meta-analysis. Stat Med 2014; 34; 721-741.

Mavridis D., White I., Higgins J., Salanti G. Addressing continuous missing outcomes in pairwise and network meta-analysis (35th ISCB Annual Conference, Vienna, August 2014)

White IR, Higgins JPT, Wood AM: Allowing for uncertainty due to missing data in meta-analysis-Part 1 : Two-stage methods. Statistics in Medicine 2008, 27, pp. 711-727