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Confidence interval estimates of an index of quality performance based on logistic regression models

Confidence interval estimates of an index of quality performance based on logistic regression models This paper considers an index of hospital quality performance defined as the ratio of the observed number deaths to the number predicted by a fitted logistic regression model. We study tests and confidence intervals under two different scenarios depending on the availability of an estimate of the covariance matrix of the coefficints from the fitted logistic regression model. We propose parametric as well as bootstrap‐based confidence intervals. We apply the methods to an analysis of the performance of 27 intensive care units. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Statistics in Medicine Wiley

Confidence interval estimates of an index of quality performance based on logistic regression models

Statistics in Medicine , Volume 14 (19) – Oct 15, 1995

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References (14)

Publisher
Wiley
Copyright
Copyright © 1995 John Wiley & Sons, Ltd.
ISSN
0277-6715
eISSN
1097-0258
DOI
10.1002/sim.4780141909
Publisher site
See Article on Publisher Site

Abstract

This paper considers an index of hospital quality performance defined as the ratio of the observed number deaths to the number predicted by a fitted logistic regression model. We study tests and confidence intervals under two different scenarios depending on the availability of an estimate of the covariance matrix of the coefficints from the fitted logistic regression model. We propose parametric as well as bootstrap‐based confidence intervals. We apply the methods to an analysis of the performance of 27 intensive care units.

Journal

Statistics in MedicineWiley

Published: Oct 15, 1995

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