The DOI matches its OpenAlex record; 1 of the 1 references it cites were found in a registry or an index.
Constructing a Control Group Using Multivariate Matched Sampling Methods That Incorporate the Propensity Score
Abstract
Abstract Matched sampling is a method for selecting units from a large reservoir of potential controls to produce a control group of modest size that is similar to a treated group with respect to the distribution of observed covariates. We illustrate the use of multivariate matching methods in an observational study of the effects of prenatal exposure to barbiturates on subsequent psychological development. A key idea is the use of the propensity score as a distinct matching variable.
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Citations
Cites
Matching to remove bias in observational studies
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“Note that a caliper (Rosenbaum and Rubin 1985; Althauser and Rubin 1970) is defined as a permissible difference between female and male users to still be considered a match.”
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Making AI Visible, Not Vanished: How AI Policies Reshape Developer Experience on GitHub
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Metadata
- Authors
- Rosenbaum, P. R., & Rubin, D. B.
- Venue
- The American Statistician
- Publisher
- Taylor & Francis
- Published
- 1985-02-01
- Volume
- 39
- Issue
- 1
- Pages
- 33-33
- ISSN
- 0003-1305 (ISSN-L)
- OpenAlex
- W2131850093
- Cited by
- 4,774
- References
- 1
- FWCI
- 8.98
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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