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J. Hanley, B. McNeil (1982)
The meaning and use of the area under a receiver operating characteristic (ROC) curve.Radiology, 143 1
Gail Gong (1986)
Cross-Validation, the Jackknife, and the Bootstrap: Excess Error Estimation in Forward Logistic RegressionJournal of the American Statistical Association, 81
D. Smith (1994)
Evaluating risk adjustment by partitioning variation in hospital mortality rates.Statistics in medicine, 13 10
N. Thomas, N. Longford, J. Rolph (1994)
Empirical Bayes methods for estimating hospital-specific mortality rates.Statistics in medicine, 13 9
S. Lemeshow, J. Klar, D. Teres, J. Avrunin, S. Gehlbach, J. Rapoport, Montse Rué (1994)
Mortality probability models for patients in the intensive care unit for 48 or 72 hours: A prospective, multicenter studyCritical Care Medicine, 22
S. Jencks, J. Daley, D. Draper, N. Thomas, G. Lenhart, Janice Walker (1988)
Interpreting hospital mortality data. The role of clinical risk adjustment.JAMA, 260 24
W. Hauck (1983)
A Note on Confidence Bands for the Logistic Response CurveThe American Statistician, 37
Subhash Sharma, D. Kleinbaum, L. Kupper (1978)
Applied Regression Analysis and Other Multivariate Methods
S. Lemeshow, D. Teres, J. Klar, J. Avrunin, S. Gehlbach, J. Rapoport (1993)
Mortality Probability Models (MPM II) based on an international cohort of intensive care unit patients.JAMA, 270 20
W. Best, D. Cowper (1994)
The Ratio of Observed‐to‐Expected Mortality as a Quality of Care Indicator in Non‐Surgical VA PatientsMedical Care, 32
W. Knaus, E. Draper, D. Wagner, J. Zimmerman (1986)
An evaluation of outcome from intensive care in major medical centers.Annals of internal medicine, 104 3
Jennifer Daley, Stephen Jencks, David Draper, Gregory Lenhart, Neal Thomas, Jan Walker (1988)
Predicting hospital-associated mortality for Medicare patients. A method for patients with stroke, pneumonia, acute myocardial infarction, and congestive heart failure.JAMA, 260 24
K. Gillis, J. Hixson (1991)
Efficacy of Statistical Outlier Analysis for Monitoring Quality of CareJournal of Business & Economic Statistics, 9
J. Gall, S. Lemeshow, F. Saulnier (1993)
A new Simplified Acute Physiology Score (SAPS II) based on a European/North American multicenter studyJAMA, 270
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.
Statistics in Medicine – Wiley
Published: Oct 15, 1995
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