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| http://dx.doi.org/10.2105/AJPH.2016.303359 | DOI Listing |
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Evaluating the impact of modeling choices on the performance of integrated genetic and clinical models.
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Purpose: The value of genetic information for improving the performance of clinical risk prediction models has yielded variable conclusions. Many methodological decisions have the potential to contribute to differential results. We performed multiple modeling experiments integrating clinical and demographic data from electronic health records (EHR) with genetic data to understand which decisions may affect performance.
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