RANDTREAT: Stata module to randomly assign treatments uneven treatments and deal with misfits

Alvaro Carril ()

Statistical Software Components from Boston College Department of Economics

Abstract: The randtreat command performs random treatment assignment. It can handle an arbitrary number of treatments and uneven treatment fractions, which are common in real-world randomized control trials. Stratified randomization can be achieved by optionally specifying a variable list that defines multiple strata. It also provides several methods to deal with 'misfits', a practical issue that arises in treatment assignment whenever observations can't be neatly distributed among treatments. The command performs all tasks in a way that marks misfit observations and provides several methods to deal with those misfits.

Language: Stata
Requires: Stata version 11
Keywords: treatment effects; treatment; random treatment; misfits (search for similar items in EconPapers)
Date: 2015-11-01, Revised 2017-04-13
Note: This module should be installed from within Stata by typing "ssc install randtreat". 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: View citations in EconPapers (2)

Downloads: (external link)
http://fmwww.bc.edu/repec/bocode/r/randtreat.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/r/randtreat.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:s458106

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 ().