The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
A review of the application of propensity score methods yielded increasing use, advantages in specific settings, but not substantially different estimates compared with conventional multivariable methods
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Cites
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Hosmer, D. W., & Lemeshow, S. (2000) · doi:10.1002/0471722146 · Cited by 20,302
Writing Group for the Women's Health Initiative Investigators (2002) · JAMA: The Journal of the American Medical Association · doi:10.1001/jama.288.3.321 · Cited by 15,889
A simulation study of the number of events per variable in logistic regression analysis
Peduzzi, P., Concato, J., Kemper, E., Holford, T. R., & Feinstein, A. R. (1996) · Journal of Clinical Epidemiology · doi:10.1016/s0895-4356(96)00236-3 · Cited by 9,655
Randomized, Controlled Trials, Observational Studies, and the Hierarchy of Research Designs
Concato, J., Shah, N., & Horwitz, R. I. (2000) · New England Journal of Medicine · doi:10.1056/nejm200006223422507 · Cited by 3,563
Fish and Omega-3 Fatty Acid Intake and Risk of Coronary Heart Disease in Women
Hu, F. B. (2002) · JAMA · doi:10.1001/jama.287.14.1815 · Cited by 1,018
The Effectiveness of Adjustment by Subclassification in Removing Bias in Observational Studies
Cochran, W. G. (1968) · Biometrics · doi:10.2307/2528036 · Cited by 961
Exercise Type and Intensity in Relation to Coronary Heart Disease in Men
Tanasescu, M. (2002) · JAMA · doi:10.1001/jama.288.16.1994 · Cited by 928
Cepeda, M. S. (2003) · American Journal of Epidemiology · doi:10.1093/aje/kwg115 · Cited by 859
Comparison of Multivariate Matching Methods: Structures, Distances, and Algorithms
Gu, X. S., & Rosenbaum, P. R. (1993) · Journal of Computational and Graphical Statistics · doi:10.1080/10618600.1993.10474623 · Cited by 702
Cited by
Austin, P. C. (2011) · Multivariate Behavioral Research · doi:10.1080/00273171.2011.568786 · Cited by 12,242
Austin, P. C. (2009) · Statistics in Medicine · doi:10.1002/sim.3697 · Cited by 6,758
Austin, P. C. (2011) · Pharmaceutical Statistics · doi:10.1002/pst.433 · Cited by 3,949
Variable Selection for Propensity Score Models
Brookhart, M. A., Schneeweiss, S., Rothman, K. J., Glynn, R. J., Avorn, J., & Stürmer, T. (2006) · American Journal of Epidemiology · doi:10.1093/aje/kwj149 · Cited by 2,336
Self-citationMeta-analysis of the Impact of 9 Medication Classes on Falls in Elderly Persons
Woolcott, J. C. (2009) · Archives of Internal Medicine · doi:10.1001/archinternmed.2009.357 · Cited by 1,326
Metadata
- Authors
- Stürmer, T., Joshi, M., Glynn, R. J., Avorn, J., Rothman, K. J., & Schneeweiss, S.
- Venue
- Journal of Clinical Epidemiology
- Publisher
- Elsevier BV
- Published
- 2006-05
- Volume
- 59
- Issue
- 5
- Pages
- 437.e1-437.e24
- ISSN
- 0895-4356 (ISSN-L)
- OpenAlex
- W2037135054
- Cited by
- 670
- References
- 11
- FWCI
- 18.10
- Type
- journal article
- Language
- en
- Open access
- green
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- CoChat. (2026). Citation check: A review of the application of propensity score methods yielded increasing use, advantages in specific settings, but not substantially different estimates compared with conventional multivariable methods. https://app.cochat.ai/papers/10.1016/j.jclinepi.2005.07.004
- The paper
- Stürmer, T., Joshi, M., Glynn, R. J., Avorn, J., Rothman, K. J., & Schneeweiss, S. (2006). A review of the application of propensity score methods yielded increasing use, advantages in specific settings, but not substantially different estimates compared with conventional multivariable methods. Journal of Clinical Epidemiology. https://doi.org/10.1016/j.jclinepi.2005.07.004
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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.