MIM: Stata module to analyse and manipulate multiply imputed datasets
John C. Galati,
Patrick Royston () and
John B. Carlin
Additional contact information
John C. Galati: Clinical Epidemiology and Biostatistics Unit, Murdoch Children's Research Institute
Patrick Royston: UK Medical Research Council
John B. Carlin: Clinical Epidemiology and Biostatistics Unit, Murdoch Children's Research Institute
Statistical Software Components from Boston College Department of Economics
Abstract:
mim is a prefix command for working with multiply-imputed (MIM) datasets, where command can be any of a wide range of Stata commands. The function that mim performs depends on the category of command passed to mim; either estimation, data manipulation, post estimation, combination of scalar estimands by Rubin's rules, or utility. A limited range of commands can be used with mim without specifying the category mim_option.
Language: Stata
Requires: Stata version 9.2
Keywords: multiple imputation; estimation; data manipulation; post-estimation (search for similar items in EconPapers)
Date: 2007-02-28, Revised 2013-05-20
Note: This module should be installed from within Stata by typing "ssc install mim". 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.
References: Add references at CitEc
Citations:
Downloads: (external link)
http://fmwww.bc.edu/repec/bocode/m/mim.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/m/mim.hlp help file (text/plain)
http://fmwww.bc.edu/repec/bocode/m/mimstack.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/m/mimstack.hlp help file (text/plain)
http://fmwww.bc.edu/repec/bocode/m/mimstepwise.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/b/byvar.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/b/byvar.hlp help file (text/plain)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:boc:bocode:s456825
Ordering information: This software item can be ordered from
http://repec.org/docs/ssc.php
Access Statistics for this software item
More software in Statistical Software Components from Boston College Department of Economics Boston College, 140 Commonwealth Avenue, Chestnut Hill MA 02467 USA. Contact information at EDIRC.
Bibliographic data for series maintained by Christopher F Baum ().