The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Principles for modeling propensity scores in medical research: a systematic literature review
Open accessAbstract
Purpose: To document which established criteria for logistic regression modeling researchers consider when using propensity scores in observational studies. Methods: We performed a systematic review searching Medline and Science Citation to identify observational studies published in 2001 that addressed clinical questions using propensity score methods to adjust for treatment assignment. We abstracted aspects of propensity score model development (e.g. variable selection criteria, continuous variables included in correct functional form, interaction inclusion criteria), model discrimination and goodness of fit for 47 studies meeting inclusion criteria. Results: We found few studies reporting on the propensity score model development or evaluation of model fit. Conclusions: Reporting of aspects related to propensity score model development is limited and raises questions about the value of these principles in developing propensity scores from which unbiased treatment effects are estimated. Copyright © 2004 John Wiley & Sons, Ltd.
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Cites
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Logistic regression in the medical literature:
Bagley, S. C., White, H., & Golomb, B. A. (2001) · Journal of Clinical Epidemiology · doi:10.1016/s0895-4356(01)00372-9 · Cited by 616 · cited 8×
“The rule of thumb is that a logistic model can support 10 EPV before the precision and accuracy of the predicted probabilities may be compromised.(5,13,14) 842 s.”
BackgroundMethodInfluentialThe importance of assessing the fit of logistic regression models: a case study.
Hosmer, D. W., Taber, S., & Lemeshow, S. (1991) · American Journal of Public Health · doi:10.2105/ajph.81.12.1630 · Cited by 496
THE EFFECT OF MISCLASSIFICATION IN THE PRESENCE OF COVARIATES
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Cited by
Austin, P. C. (2009) · Statistics in Medicine · doi:10.1002/sim.3697 · Cited by 6,758
Matching Methods for Causal Inference: A Review and a Look Forward
Stuart, E. A. (2010) · Statistical Science · doi:10.1214/09-sts313 · Cited by 5,478
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
The performance of different propensity score methods for estimating marginal hazard ratios
Austin, P. C. (2013) · Statistics in Medicine · doi:10.1002/sim.5705 · Cited by 1,006
A Systematic Review of Propensity Score Methods in the Social Sciences
Thoemmes, F. J., & Kim, E. S. (2011) · Multivariate Behavioral Research · doi:10.1080/00273171.2011.540475 · Cited by 577
Metadata
- Authors
- Weitzen, S., Lapane, K. L., Toledano, A. Y., Hume, A. L., & Mor, V.
- Venue
- Pharmacoepidemiology and Drug Safety
- Publisher
- Wiley
- Published
- 2004-04-23
- Volume
- 13
- Issue
- 12
- Pages
- 841-853
- ISSN
- 1053-8569 (ISSN-L)
- 1099-1557
- OpenAlex
- W1979202959
- Cited by
- 344
- References
- 9
- FWCI
- 1.43
- Type
- journal article
- Language
- en
- Open access
- green
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