EconPapers    
Economics at your fingertips  
 

MAPSM: Stata module to perform multiple arms propensity score matching

Suppachai Lawanaskol (), Phichayut Phinyo () and Jayanton Patumanond ()
Additional contact information
Suppachai Lawanaskol: Chaiprakarn hospital, Chiang Mai, Thailand
Phichayut Phinyo: Chiang Mai University
Jayanton Patumanond: Chiang Mai University

Statistical Software Components from Boston College Department of Economics

Abstract: The mapsm command; stands for “Multiple Arms Propensity Score Matching”, matches the propensity scores predicted from binary logistic regression (or multinomial logistic regression), which indicates the likeliness of choosing or being assigned to one among other treatment arms for each subject. In case of two-treatment arms study, the propensity score (probability of 0-1.0) derived from binary logistic regression will be divided into 10 strata, 0-0.1, 0.1-0.2 until 0.9-1.0. Study subjects from either of the two arms will be sampled to match with the opposite arm within the same propensity score strata, with 1:1 ratio. In case of three or more arms, the propensity scores will be derived from multinomial logistic regression, yielding sets of propensity scores equal to number of arms, indicating the likeliness of choosing or being assigned to one among other treatment arms for each subject. Each set of the propensity scores will be divided into 10 strata similar to the two-treatment arms. Subjects from each arm within the same strata of the propensity score will be sampled to obtain a matched set of 1:1:1 ratio in case of three arms, and 1:1:1:1 in case of four arms, and so on. In order to obtain the most similar post-matched contrast groups, the command also rerun the matching process and reported the best post-matched contrast groups which has the best balance diagnostic property, such as standardized mean difference. The best seed-setting number (among those selected) will be reported in order to re-obtain the best post-matched cohort.

Language: Stata
Requires: Stata version 16
Keywords: propensity score matching; multiple arms (search for similar items in EconPapers)
Date: 2024-05-02
Note: This module should be installed from within Stata by typing "ssc install mapsm". 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/mapsm.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/m/mapsm.sthlp help file (text/plain)
http://fmwww.bc.edu/repec/bocode/c/chocolateFile-U ... ec/bocode/_/cyst.dta sample data file (application/x-stata)
Our link check indicates that this URL is bad, the error code is: 404 Not Found
http://fmwww.bc.edu/repec/bocode/c/cabg.dta sample data file (application/x-stata)

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:s459323

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 ().

 
Page updated 2025-03-30
Handle: RePEc:boc:bocode:s459323