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Bias corrected estimates for logistic regression models for complex surveys with application to the United States’ Nationwide Inpatient Sample
For complex surveys with a binary outcome, logistic regression is widely used to model the outcome as a function of covariates. Complex survey sampling designs are typically stratified cluster samples, but consistent and asymptotically unbiased estimates of the logistic regression parameters can be...
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| Veröffentlicht in: | Stat Methods Med Res |
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| Hauptverfasser: | , , , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
2015
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5799008/ https://ncbi.nlm.nih.gov/pubmed/26265769 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1177/0962280215596550 |
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