Brook Luers Statistician, data scientist
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Klasnja, P., Smith, S., Seewald N.J., Lee, A., Hall, K., Luers, B., Hekler, E.B., and Murphy, S.A. (2018). Efficacy of Contextually Tailored Suggestions for Physical Activity: A Micro-randomized Optimization Trial of HeartSteps. Annals of Behavioral Medicine. (DOI)

Luers, B., Klasnja, P., and Murphy, S.A. (2018). Standardized effect sizes for preventive mobile health interventions in micro-randomized trials. Prevention Science. (DOI)

Presentations and Posters

Luers, B., Qian, M., Nahum-Shani, I., Kasari, C., and Almirall, D. Mixed effect models to compare dynamic treatment regimens with SMART data. ENAR Spring Meeting, Philadelphia, PA. March 2019. (pdf)

Luers, B. Dimension reduction and binary discrimination for naturalistic driving studies with heterogeneity. Michigan Student Symposium for Interdisciplinary Statistical Sciences, Ann Arbor, MI. April 2018. (pdf)

Luers, B. and Shedden, K. Fingerprinting individual driving behavior with vehicle kinematics data and dimension reduction regression. Michigan Institute for Data Science Annual Symposium, Ann Arbor, MI. October 2017. (pdf)

NeCamp, T., Yoo, H., Luers, B., Cho, A., Seewald, N.J., Klasnja, P., and Murphy, S.A. HeartSteps: A Case Study in Trial Design and Evaluation of Mobile Health Interventions. Michigan Institute for Data Science Annual Symposium, Ann Arbor, MI. November 2016. (pdf)