JSM 2004 - Toronto

Abstract #302067

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Activity Number: 55
Type: Contributed
Date/Time: Sunday, August 8, 2004 : 4:00 PM to 5:50 PM
Sponsor: Section on Statistics in Epidemiology
Abstract - #302067
Title: Impact of the Coexistence of a Composite Score and Its Components in a Multiple Logistic Regression Model on Predicting Clinical Outcomes
Author(s): Yen-Hong Kuo*+
Companies: Jersey Shore University Medical Center
Address: 1945 State Rte. 33, Neptune, NJ, 07754,
Keywords: logistic regression ; multivariate analysis ; composite score ; coexistence ; prediction
Abstract:

To summarize the overall clinical status of a patient, many scoring systems have been widely used. These composite scores consider and weight several patient characteristics and clinical variables to form a single value. In clinical studies, a composite score is usually evaluated with other covariates in a multiple logistic regression model to predict the clinical outcomes. Some patient characteristics, such as age and sex, are usually included in the multiple logistic regression models. They are also common components in a composite score. As a consequence, when a multivariate analysis is performed, the coexistence of a composite score and its component has been observed in the medical literature. This presentation will use age as the variable of interest. Cases identified from the medical journals will be used to illustrate the types of coexistence. The impact will be discussed from the statistical and clinical points of view. Solutions will be proposed to prevent this problem.

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Revised March 2004