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Journal of the American Statistical Association Volume 83, 1988 - Issue 402
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Application and Case Study

Predicting the Outcome of Intensive Care Unit Patients

Stanley Lemeshow Division of Public Health, School of Health Sciences, University of Massachusetts, Amherst, MA, 01003, USA
,
Daniel Teres Baystate Medical Center, Springfield, MA, 01199, USA
,
Jill Spitz Avrunin Division of Public Health, School of Health Sciences, University of Massachusetts, Amherst, MA, 01003, USA
&
Harris Pastides Division of Public Health, School of Health Sciences, University of Massachusetts, Amherst, MA, 01003, USA
Pages 348-356 | Received 01 Jan 1987, Published online: 12 Mar 2012

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Moritz Berger, Ana Kowark, Rolf Rossaint, Mark Coburn & Matthias Schmid. (2023) Modeling Postoperative Mortality in Older Patients by Boosting Discrete-Time Competing Risks Models. Journal of the American Statistical Association 118:544, pages 2239-2249.
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J J Glen. (2008) An additive utility mixed integer programming model for nonlinear discriminant analysis. Journal of the Operational Research Society 59:11, pages 1492-1505.
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J J Glen. (2005) Mathematical programming models for piecewise-linear discriminant analysis. Journal of the Operational Research Society 56:3, pages 331-341.
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Nikola Surjanovic & Thomas M. Loughin. Improving the Hosmer-Lemeshow goodness-of-fit test in large models with replicated Bernoulli trials. Journal of Applied Statistics 0:0, pages 1-13.
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Neal Thomas, Nicholas T. Longford & John E. Rolph. (2006) Empirical Bayes methods for estimating hospital‐specific mortality rates. Statistics in Medicine 13:9, pages 889-903.
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Michael Seneff & William A Knaus. (2016) Predicting Patient Outcome from Intensive Care: A Guide to APACHE, MPM, SAPS, PRISM, and Other Prognostic Scoring Systems. Journal of Intensive Care Medicine 5:1, pages 33-52.
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