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Data Science for Dynamic Intervention Decision-making Lab

Ahnalee Brincks

Ahnalee Brincks

Dr. Brincks’ research centers on the use of complex statistical methods to address important scientific questions in the prevention of substance use and mental illness. She specializes in latent variable modeling and has expertise in longitudinal data analysis, hierarchical linear models, structural equation modeling, and the analysis of data from randomized clinical trials. Fascinated by heterogeneity in response to intervention, Dr. Brincks has spent her career trying to better understand how and for whom preventive interventions are effective. Her most recent work focuses on causal mediation analysis and the design and analysis of adaptive interventions and SMARTs.

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