Literaturnachweis - Detailanzeige
Autor/in | Kelcey, Ben |
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Titel | Covariate Selection in Propensity Scores Using Outcome Proxies |
Quelle | In: Multivariate Behavioral Research, 46 (2011) 3, S.453-476 (24 Seiten)
PDF als Volltext |
Sprache | englisch |
Dokumenttyp | gedruckt; online; Zeitschriftenaufsatz |
ISSN | 0027-3171 |
Schlagwörter | Probability; Scores; Predictor Variables; Selection; Statistical Analysis; Statistical Bias |
Abstract | This study examined the practical problem of covariate selection in propensity scores (PSs) given a predetermined set of covariates. Because the bias reduction capacity of a confounding covariate is proportional to the concurrent relationships it has with the outcome and treatment, particular focus is set on how we might approximate covariate-outcome relationships while retaining the PS as a design tool (i.e., without using the observed outcomes). To make this approach tractable, I examined the extent to which alternative measures of the outcome might inform covariate-outcome empirical relationships and corresponding covariate selection. Specifically, two such measures were examined: proximal pretreatment measures of the outcome and cross validation. Further, because the implications of covariate choice reach beyond the properties of the treatment effect estimator, I reason that the primary objective of PS covariate selection is to effectively and efficiently reduce bias while forming a scientific basis for inference through, for example, covariate balance. By using outcome proxies or cross validation, substantive knowledge is augmented with empirical evidence of covariates' bias reduction/amplification capacities to better inform covariate selection, improve estimation, and form an evidentiary basis for inference. (Contains 1 figure, 1 footnote, and 2 tables.) (As Provided). |
Anmerkungen | Psychology Press. Available from: Taylor & Francis, Ltd. 325 Chestnut Street Suite 800, Philadelphia, PA 19106. Tel: 800-354-1420; Fax: 215-625-2940; Web site: http://www.tandf.co.uk/journals |
Erfasst von | ERIC (Education Resources Information Center), Washington, DC |
Update | 2017/4/10 |