The DOI matches its Crossref record; 58 of the 58 references it cites were found in a registry or an index.
Propensity scores for confounder adjustment when assessing the effects of medical interventions using nonexperimental study designs
Open accessAbstract
Treatment effects, especially when comparing two or more therapeutic alternatives as in comparative effectiveness research, are likely to be heterogeneous across age, gender, co‐morbidities and co‐medications. Propensity scores (PS s), an alternative to multivariable outcome models to control for measured confounding, have specific advantages in the presence of heterogeneous treatment effects. Implementing PS s using matching or weighting allows us to estimate different overall treatment effects in differently defined populations. Heterogeneous treatment effects can also be due to unmeasured confounding concentrated in those treated contrary to prediction. Sensitivity analyses based on PS s can help to assess such unmeasured confounding. PS s should be considered a primary or secondary analytic strategy in nonexperimental medical research, including pharmacoepidemiology and nonexperimental comparative effectiveness research.
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Cites
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Cited by
Larsen, T. B., Skjøth, F., Nielsen, P. B., Kjældgaard, J. N., & Lip, G. Y. H. (2016) · BMJ · doi:10.1136/bmj.i3189 · Cited by 441
Nielsen, P. B., Skjøth, F., Søgaard, M., Kjældgaard, J. N., Lip, G. Y. H., & Larsen, T. B. (2017) · BMJ · doi:10.1136/bmj.j510 · Cited by 346
Ng, B., Chu, A., & Khan, M. M. (2013) · BMJ Open · doi:10.1136/bmjopen-2012-002468 · Cited by 301
GLP-1 Receptor Agonist Use and Risk of Suicide Death
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Metadata
- Authors
- Stürmer, T., Wyss, R., Glynn, R. J., & Brookhart, M. A.
- Venue
- Journal of Internal Medicine
- Publisher
- Wiley
- Published
- 2014-02-13
- Volume
- 275
- Issue
- 6
- Pages
- 570-580
- ISSN
- 0954-6820 (ISSN-L)
- 1365-2796
- OpenAlex
- W1981535076
- Cited by
- 302
- References
- 58
- FWCI
- 12.03
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Stürmer, T., Wyss, R., Glynn, R. J., & Brookhart, M. A. (2014). Propensity scores for confounder adjustment when assessing the effects of medical interventions using nonexperimental study designs. Journal of Internal Medicine. https://doi.org/10.1111/joim.12197
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
