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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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Bibliographic Details
Published in:Stat Methods Med Res
Main Authors: Rader, Kevin A., Lipsitz, Stuart R., Fitzmaurice, Garrett M., Harrington, David P., Parzen, Michael, Sinha, Debajyoti
Format: Artigo
Language:Inglês
Published: 2015
Subjects:
Online Access: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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