An analytic framework for exploring sampling and observation process biases in genome and phenome-wide association studies using electronic health records.

Abstract excerpt

Large-scale association analyses based on observational health care databases such as electronic health records have been a topic of increasing interest in the scientific community. However, challenges due to nonprobability sampling and phenotype misclassification associated with the use of these data sources are often ignored in standard analyses. The extent of the bias introduced by ignoring these factors is...

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