Kernel density estimation from complex surveys in the presence of complete auxiliary information
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DOI: 10.1007/s00184-018-0703-y
Abstract: Auxiliary information is widely used in survey sampling to enhance the precision of estimators of finite population parameters, such as the finite population mean, percentiles, and distribution function. In the context of complex surveys, we… read more here.
Keywords: complex surveys; auxiliary information; estimator; density ... See more keywords
Bias-corrected estimates for logistic regression models for complex surveys with application to the United States’ Nationwide Inpatient Sample
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DOI: 10.1177/0962280215596550
Abstract: 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… read more here.
Keywords: logistic regression; regression; complex surveys; bias corrected ... See more keywords