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Data Science for Dynamic Intervention Decision-making Lab


Tim NeCamp

Graduate Student

Statistics; Literature, Science, & the Arts
University of Michigan
My research interests involve developing statistical methodology for understanding multi-stage treatments in health and education. I work on constructing real time individualized sequences of treatments delivered by mobile devices (i.e. Just-in-Time Adaptive Interventions). I am also developing methodology for sequential multiple assignment randomized trials (SMARTs). SMARTs are randomized trial designs that give rise to high-quality data that can be used to develop and optimize adaptive interventions.
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