PIE: A prior knowledge guided integrated likelihood estimation method for bias reduction in association studies using electronic health records data.OBJECTIVES
 This study proposes a novel Prior knowledge guided Integrated likelihood Estimation (PIE) method to correct bias in estimations of associations due to misclassification of electronic health record (EHR)-derived binary phenotypes, and evaluates the performance of the proposed method by comparing it to 2 methods in common practice.


 The analysis of EHR data from Kaiser Permanente Washington showed that the estimated associations from PIE were very close to the estimates from the gold standard method and reduced bias by 60%-100% compared to the 2 commonly used methods in current practice for EHR data.



PIE
PIE: A prior knowledge guided integrated likelihood estimation method for bias reduction in association studies using electronic health records data.OBJECTIVES
 This study proposes a novel Prior knowledge guided Integrated likelihood Estimation (PIE) method to correct bias in estimations of associations due to misclassification of electronic health record (EHR)-derived binary phenotypes, and evaluates the performance of the proposed method by comparing it to 2 methods in common practice.



Prior knowledge guided Integrated likelihood Estimation