In:
Statistical Methods in Medical Research, SAGE Publications, Vol. 29, No. 4 ( 2020-04), p. 1051-1066
Abstract:
Matching estimators for average treatment effects are widely used in the binary treatment setting, in which missing potential outcomes are imputed as the average of observed outcomes of all matches for each unit. With more than two treatment groups, however, estimation using matching requires additional techniques. In this paper, we propose a nearest-neighbors matching estimator for use with multiple, nominal treatments, and use simulations to show that this method is precise and has coverage levels that are close to nominal. In addition, we implement the proposed inference methods to examine the effects of different medication regimens on long-term pain for patients experiencing motor vehicle collision.
Type of Medium:
Online Resource
ISSN:
0962-2802
,
1477-0334
DOI:
10.1177/0962280219850858
Language:
English
Publisher:
SAGE Publications
Publication Date:
2020
detail.hit.zdb_id:
2001539-2
detail.hit.zdb_id:
1136948-6
