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Abstract Details
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Activity Number:
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526
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Type:
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Contributed
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Date/Time:
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Wednesday, August 1, 2012 : 10:30 AM to 12:20 PM
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Sponsor:
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Section on Statistics in Epidemiology
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| Abstract - #306226 |
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Title:
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An Adaptation of Weighted Case-Control Logistic Regression to Predict Alcohol Withdrawal in Hospitalized Patients
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Author(s):
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G. Kolm*+ and Edward Ewen
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Companies:
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Christiana Center for Outcomes Research and Christiana Care Health System
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Address:
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131 Continental Drive, Newark, DE, 19713, United States
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Keywords:
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case-control ;
conditional logistic regression
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Abstract:
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Matched case-control designs are common in medical and epidemiological research. Conditional logistic regression is typically used to analyze such data, accounting for the pairing of patients. van der Laan (2008) and Rose and van der Laan (2008) developed a methodology, case-control weighted targeted maximum likelihood estimation, that makes use of known, or at least estimateable, prevalence values in a given population. Using this information to weight cases and controls, marginal causal parameters (e.g., relative risk, odds ratios) can be estimated. We adapt the methodology to assess the predictive ability of a widely used patient reported outcome (PRO) instrument to identify hospitalized patients for potential alcohol withdrawal. Specifically, we wish to estimate predictive values of different cutoff scores.
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