Alan Hubbard

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Longitudinal cluster analysis with applications to growth trajectories Assistant Professor 2013-present Ongoing research in longitudinal data, applied to environmental exposure and epidemiology. Teaching experience included serving as full instructor of introductory statistics course for undergraduate students (summer 2012), graduate student instructor for(More)
OBJECTIVES Low and middle-income countries (LMICs) and the world's poor bear a disproportionate share of the global burden of injury. Data regarding disparities in injury are vital to inform injury prevention and trauma systems strengthening interventions targeted towards vulnerable populations, but are limited in LMICs. We aim to facilitate injury(More)
BACKGROUND There is a paucity of literature comparing Bayesian analytic techniques with traditional approaches for analyzing clinical trials using real trial data. METHODS We compared Bayesian and frequentist group sequential methods using data from two published clinical trials. We chose two widely accepted frequentist rules, O'Brien-Fleming and(More)
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