"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