Current Research
Longitudinal SMARTs: Dynamic treatment regimes (DTRs) are sets of decision rules that provide information for when and which intervention to give to a patient depending on their ongoing characteristics. For example, in the treatment of ADHD, a DTR could be to initially provide a behavioral intervention and if the individual does not respond well, add on a medication. Sequential multiple assignment randomized trials (SMARTs) allow for the design and assessment of DTRs and frequently involve longitudinal outcomes. My research interests lie in developing methodology to use these repeated measures to perform more efficient statistical analyses surrounding the DTRs embedded within the trial design. My goal is to use these methodologies to create tools that would allow researchers to more easily design trials and determine appropriate sample size requirements for their scientific question of interest. This work is advised by Nicholas Seewald, Ph.D.
Vaccine Effectiveness: The focus of my masters thesis is to evaluate the effect of COVID-19 vaccination on reducing COVID-19 deaths at the county level in the United States. We are interested in estimating the effect of small increases in county level vaccination rates on death rates while appropriately taking into account the complex longitudinal nature of the exposure and the outcome, as well as various potential confounding variables. This work is jointly advised by Jing Huang, Ph.D. and Nicholas Seewald, Ph.D.