Overview
M. Alan Brookhart, Ph.D. is a Professor in the Department of Population Health Sciences at Duke University. He is also an Adjunct Professor at UNC Chapel Hill and an Honorary Professor of Clinical Epidemiology at Aarhus University, Denmark. Alan did his doctoral training in biostatistics at UC Berkeley and was on faculty at Harvard Medical School and UNC Chapel Hill prior to joining the faculty at Duke.
Alan has spent his career developing epidemiologic and statistical methods for improving learning from real-world healthcare data. Substantively, his research has focused on understanding the effects of treatments and policies in complex and vulnerable patient populations, such as those with end-stage renal disease. He has taught courses and workshops in pharmacoepidemiology, causal inference, epidemiologic methods, cluster-randomized trials, data visualization, and machine learning. He is a member of many expert panels for industry, academia, not-for-profit organizations, and government.
In addition to his academic work, Alan co-founded two start-up companies: RxAnte, Inc, which uses predictive analytics to target adherence improvement interventions to high-risk patients, and NoviSci, Inc, a healthcare data sciences company that builds tools to facilitate learning and visualization in complex, real-world data.
Areas of Expertise: epidemiology, observational study design, causal inference, predictive models, and data visualization
Current Appointments & Affiliations
Recent Publications
Can Patient-Reported Outcomes Measurement Information System estimate high-impact chronic pain after total shoulder arthroplasty?
Journal Article JSES Int · November 2024 BACKGROUND: Identification of high-impact chronic pain (HICP) among patients receiving total shoulder arthroplasty (TSA) may allow for the design and implementation of tailored pain interventions to address the negative impact on postoperative outcomes and ... Full text Link to item CiteCharacterizing Imbalance in the Tails of the Propensity Score Distribution.
Journal Article Am J Epidemiol · February 5, 2024 Understanding characteristics of patients with propensity scores in the tails of the propensity score (PS) distribution has relevance for inverse-probability-of-treatment-weighted and PS-based estimation in observational studies. Here we outline a method f ... Full text Link to item CiteTrends in Pediatric Emergency and Inpatient Healthcare Use for Mental and Behavioral Health Among North Carolinians During the Early COVID-19 Pandemic.
Journal Article J Pediatric Infect Dis Soc · December 26, 2023 BACKGROUND: Widespread school closures and health care avoidance during the COVID-19 pandemic led to disruptions in access to pediatric mental health care. METHODS: We conducted a retrospective study of emergency and inpatient administrative claims from pr ... Full text Link to item CiteRecent Grants
Social Health Factors Associated with the Transition from Acute to Chronic Low Back Pain
FellowshipCollaborator · Awarded by National Institutes of Health · 2024 - 2027Advancing the Measurement and Classification of Lower Urinary Tract Dysfunction
ResearchCo Investigator · Awarded by National Institutes of Health · 2012 - 2025QT prolonging medications and sudden cardiac death among individuals on hemodialysis
ResearchCo Investigator · Awarded by University of North Carolina - Chapel Hill · 2020 - 2025View All Grants