English, Article edition: METAMISS: Stata module to perform meta-analysis with missing data Ian White; Julian Higgins

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Bookmark: http://trove.nla.gov.au/version/102687
Physical Description
  • code
Language
  • English

Edition details

Title
  • METAMISS: Stata module to perform meta-analysis with missing data
Author
  • Ian White
  • Julian Higgins
Physical Description
  • code
Notes
  • metamiss performs meta-analysis with a binary outcome, using data on the number of successes, number of failures and number of missing values by arm. A variety of imputation methods are available, including imputing failures, imputing successes, worst- and best-case. Different imputation schemes may be applied to subgroups with different reported reasons for missing data. The degree of informative missingness may be specified via the informative missingness odds ratio (IMOR) in each group. Finally, uncertainty about the IMORs may be taken into account in a Bayesian analysis. This command should be especially useful for sensitivity analysis.
  • meta-analysis, missing data, binary outcome, informative missingness
  • RePEc:boc:bocode:s456869
Language
  • English
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