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Meta-analysis with missing data

Author

Listed:
  • Ian R. White

    (MRC Biostatistics Unit)

  • Julian P. T. Higgins

    (MRC Biostatistics Unit)

Abstract

A new command, metamiss, performs meta-analysis with binary outcomes when some or all studies have missing data. Missing values can be imputed as successes, as failures, according to observed event rates, or by a combination of these according to reported reasons for the data being missing. Alternatively, the user can specify the value of, or a prior distribution for, the informative missingness odds ratio. Copyright 2009 by StataCorp LP.

Suggested Citation

  • Ian R. White & Julian P. T. Higgins, 2009. "Meta-analysis with missing data," Stata Journal, StataCorp LP, vol. 9(1), pages 57-69, March.
    • Handle: RePEc:tsj:stataj:v:9:y:2009:i:1:p:57-69
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