MIBMI: Stata module for cleaning and multiple imputation algorithm for body mass index (BMI) in longitudinal datasets

Evangelos Kontopantelis ()
Additional contact information
Evangelos Kontopantelis: University of Manchester

Statistical Software Components from Boston College Department of Economics

Abstract: mibmi is a multiple imputation and cleaning command for body mass index (BMI), compatible with {cmd:mi} commands. Cleaning includes standard cleaning that limits values to a logical range and regression based cleaning for each subject. If weight and height have been provided the algorithm with these and BMI observations at each time point to correct BMI and/or height/weight values. The command will also impute BMI measurements for patients with at least 2 BMI observations over the time period. Residuals are used to quantify interpolation prediction errors, for all possible time-window lengths, and these are used to introduce uncertainty in the interpolation estimates, in a multiple imputations setting. Imputed values are drawn from normal distributions, the means for which are provided by the ipolate command and the standard deviations are the standard errors for the predictions for the respective time-window length. A similar process is used for extrapolations, if requested. Finally missing not at random assumptions are allowed for BMI values, for interpolated or extrapolated cases. The command can take a long time to run, especially when both interpolations and extrapolations are requested.

Language: Stata
Requires: Stata version 12.1
Keywords: multiple imputation; body mass index; BMI (search for similar items in EconPapers)
Date: 2015-02-22, Revised 2016-10-30
Note: This module should be installed from within Stata by typing "ssc install mibmi". 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/mibmi.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/m/mibmi.sthlp 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:s457972

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 ().