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Kernel machine approach to testing the significance of multiple genetic markers for risk prediction.
There is growing evidence that genomic and proteomic research holds great potential for changing irrevocably the practice of medicine. The ability to identify important genomic and biological markersExpand
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Validation of electronic health record phenotyping of bipolar disorder cases and controls.
OBJECTIVE The study was designed to validate use of electronic health records (EHRs) for diagnosing bipolar disorder and classifying control subjects. METHOD EHR data were obtained from a healthExpand
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Learning a Comorbidity-Driven Taxonomy of Pediatric Pulmonary Hypertension
Rationale: Pediatric pulmonary hypertension (PH) is a heterogeneous condition with varying natural history and therapeutic response. Precise classification of PH subtypes is, therefore, crucial forExpand
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A Computable Phenotype Improves Cohort Ascertainment in a Pediatric Pulmonary Hypertension Registry
Objectives To compare registry and electronic health record (EHR) data mining approaches for cohort ascertainment in patients with pediatric pulmonary hypertension (PH) in an effort to overcome someExpand
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Association of Interleukin 6 Receptor Variant With Cardiovascular Disease Effects of Interleukin 6 Receptor Blocking Therapy: A Phenome-Wide Association Study
Importance Electronic health record (EHR) biobanks containing clinical and genomic data on large numbers of individuals have great potential to inform drug discovery. Individuals with interleukin 6Expand
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Evaluating incremental values from new predictors with net reclassification improvement in survival analysis
We propose both nonparametric and semiparametric procedures for calculating NRI as a function of a future prediction time $$t$$ with a censored failure time outcome. Expand
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Variation in the course of major depressive disorder (MDD) is not strongly predicted by existing subtype distinctions. A new subtyping approach is considered here.
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A predictive enrichment procedure to identify potential responders to a new therapy for randomized, comparative controlled clinical studies.
To evaluate a new therapy versus a control via a randomized, comparative clinical study or a series of trials, due to heterogeneity of the study patient population, a pre-specified, predictiveExpand
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The effects of co-morbidity in defining major depression subtypes associated with long-term course and severity.
BACKGROUND Although variation in the long-term course of major depressive disorder (MDD) is not strongly predicted by existing symptom subtype distinctions, recent research suggests that predictionExpand
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