Rebecca joined the QSU in January 2019. She completed her MS in Statistics at Brigham Young University in 2016, where she collaborated with cardiologists to develop a new approach to diagnose rheumatic heart disease for her Master's thesis. Prior to joining the QSU, she worked in the Pediatric Critical Care division at the University of Utah, providing statistical support for a variety of projects ranging from a probiotics randomized controlled trial in children, to working with the state government to identify measures to improve highway safety. She now lends her statistical expertise and extensive R, SQL, and SAS programming experience to a wide range of projects, including topics such as developmental behavioral pediatrics, oncology, and cardiovascular medicine. One of her long-term goals is to become involved with reproductive endocrinology and infertility research. Rebecca moderates a local book club and writes poetry and short stories in her spare time.
Methodology Area of Interest: machine learning (i.e. random forests, adaptive boosting), survival analysis, generalized linear models, econometrics, data visualization, big data
Clinical Area of Interest: developmental behavioral pediatrics, oncology, disparities, reproductive endocrinology and infertility, OB/GYN
Allen, M., Allen, J., Naseri, T., Gardner, R., Tolley, D., & Allen, L. (2017). A rapid echocardiographic screening protocol for rheumatic heart disease in Samoa: A high prevalence of advanced disease. Cardiology in the Young, 27(8), 1599-1605. doi:10.1017/S1047951117000907