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INORM: Stata module to perform multiple imputation using Schafer's method

Author

Listed:
  • John C. Galati
  • John B. Carlin

    (Clinical Epidemiology and Biostatistics Unit, Murdoch Children's Research Institute, and University of Melbourne Department of Paediatrics, Royal Children's Hospital)

Programming Language

Stata

Abstract

inorm is an implementation of Schafer's NORM program for multiple imputation based on the multivariate normal distribution (using the EM algorithm and a data augmentation MCMC). By default it uses a Windows plug-in to perform the calculations but an option allows non-Windows operation using Mata. (The latter method is much slower.) Support is not available for this package.

Suggested Citation

  • John C. Galati & John B. Carlin, 2008. "INORM: Stata module to perform multiple imputation using Schafer's method," Statistical Software Components S456966, Boston College Department of Economics, revised 16 Jan 2009.
  • Handle: RePEc:boc:bocode:s456966
    Note: This module should be installed from within Stata by typing "ssc install inorm". The module is made available under terms of the GPL v3 (https://www.gnu.org/licenses/gpl-3.0.txt). Windows users should not attempt to download these files with a web browser.
    as

    Download full text from publisher

    File URL: http://fmwww.bc.edu/repec/bocode/i/inorm.ado
    File Function: program code
    Download Restriction: no

    File URL: http://fmwww.bc.edu/repec/bocode/i/inorm.hlp
    File Function: help file
    Download Restriction: no

    File URL: http://fmwww.bc.edu/repec/bocode/i/inormpi.ado
    File Function: program code
    Download Restriction: no

    File URL: http://fmwww.bc.edu/repec/bocode/l/linorm.mlib
    File Function: Mata library
    Download Restriction: no

    File URL: http://fmwww.bc.edu/repec/bocode/l/lirand.mlib
    File Function: Mata library
    Download Restriction: no

    File URL: http://fmwww.bc.edu/repec/bocode/i/inormpi.dll
    File Function: Windows object library
    Download Restriction: no
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