Multiple Regression Models to Analyze Length of Hospitalization due to Nosocomial Infections in U.S. Hospitals
Nosocomial diseases are a serious concern and detriment to hospitals’ abilities to provide appropriate patient care. Bearing this in mind, an effort must be made to determine whether infection surveillance and control programs have reduced the rates of nosocomial infection at U.S. hospitals. The data that were studied were obtained as part of the Study on the Efficacy of Nosocomial Infection Control (SENIC) and used to develop a model of what variables most contribute to a patient’s length of stay at the Cleveland Clinic (Quade et al, 1980).
Oleksy, Ernest M..
"Multiple Regression Models to Analyze Length of Hospitalization due to Nosocomial Infections in U.S. Hospitals."
The Downtown Review.
Available at: https://engagedscholarship.csuohio.edu/tdr/vol5/iss1/11
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