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The role of the propensity score in estimating dose-response functions
Abstract
Estimation of average treatment effects in observational studies often requires adjustment for differences in pre-treatment variables. If the number of pre-treatment variables is large, standard covariance adjustment methods are often inadequate. Rosenbaum & Rubin (1983) propose an alternative method for adjusting for pre-treatment variables for the binary treatment case based on the so-called propensity score. Here an extension of the propensity score methodology is proposed that allows for estimation of average casual effects with multi-valued treatments.
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Cited by
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Metadata
- Authors
- Imbens, G.
- Venue
- Biometrika
- Publisher
- Oxford University Press (OUP)
- Published
- 2000-09-01
- Volume
- 87
- Issue
- 3
- Pages
- 706-710
- ISSN
- 0006-3444 (ISSN-L)
- 1464-3510
- OpenAlex
- W3122843734
- Cited by
- 1,776
- References
- 0
- FWCI
- 17.63
- Type
- journal article
- Language
- en
- Open access
- closed
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