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Research Projects

Predictive Analytics

Long-term trajectories: Predicting long-term healthcare spending changes using longitudinal modeling methods in Medicare patients

Observing versus predicting: initial patterns of filling predict long-term adherence more accurately than high-dimensional modeling techniques

Longitudinal patterns of spending enhance the ability to predict costly patients: a novel approach to identify patients for cost containment

Group-based trajectory models: a new approach to classifying and predicting long-term medication adherence

Predicting adherence to chronic disease medications in patients with long-term initial medication fills using indicators of clinical events and health behaviors

Association between trajectories of statin adherence and subsequent cardiovascular events

Behavioral science

Health technology

Predictive analytics

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