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Propensity score model overfitting led to inflated variance of estimated odds ratios
OBJECTIVE: Simulation studies suggest that the ratio of the number of events to the number of estimated parameters in a logistic regression model should be not less than 10 or 20 to 1 to achieve reliable effect estimates. Applications of propensity score approaches for confounder control in practice...
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| Gepubliceerd in: | J Clin Epidemiol |
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| Hoofdauteurs: | , , |
| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
2016
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| Onderwerpen: | |
| Online toegang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5756087/ https://ncbi.nlm.nih.gov/pubmed/27498378 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.jclinepi.2016.05.017 |
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