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METAPROP: Stata module to perform fixed and random effects meta-analysis of proportions

Listed author(s):
  • Victoria Nyawira Nyaga


    (Scientific Institute of Public Health, Brussels)

  • Marc Arbyn

    (Scientific Institute of Public Health, Brussels)

  • Marc Aerts

    (Center for Statistics, Hasselt University)

Registered author(s):

    This routine provides procedures for pooling proportions in a meta-analysis of multiple studies study and/or displays the results in a forest plot. The confidence intervals are based on score(Wilson) (Newcombe, R. G. 1998) or exact binomial(Clopper-Pearson) (Newcombe, R. G. 1998) procedures. A test of whether the summary effect measure is equal to the zero is given, as well as a test for heterogeneity, i.e., whether the true effect in all studies is the same. Heterogeneity is also quantified using the I-squared measure (Higgins et al. 2003). Financial support was received from: (1) The 7th Framework Programme of DG Research of the European Commission through the COHEAHR Network (grant No. 603019, coordinated by the Vrije Universiteit Amsterdam, the Netherlands), (2) The HPV-AHEAD project (FP7-HEALTH-2011-282562, coordinated by IARC), and (3) The Scientific Institute of Public Health (Brussels, through the OPSADAC project).

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    Software component provided by Boston College Department of Economics in its series Statistical Software Components with number S457781.

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    Programming language: Stata
    Requires: Stata version 10
    Date of creation: 01 Feb 2014
    Date of revision: 26 Jan 2017
    Handle: RePEc:boc:bocode:s457781
    Note: This module should be installed from within Stata by typing "ssc install metaprop". Windows users should not attempt to download these files with a web browser.
    Contact details of provider: Postal:
    Boston College, 140 Commonwealth Avenue, Chestnut Hill MA 02467 USA

    Phone: 617-552-3670
    Fax: +1-617-552-2308
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