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However, difficulties because of nonprobability sampling and phenotype misclassification linked to the usage of these information sources in many cases are overlooked in standard analyses. The level associated with the prejudice introduced by ignoring these facets just isn't well-characterized. In this report, we develop an analytic framework for characterizing the prejudice expected in disease-gene association researches predicated on digital health files when
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