Hi, my name is Byron
I am an assistant professor of Biostatistics and data science at Wake Forest University School of Medicine.
I got my doctorate in Biostatistics from University of North Carolina at Chapel Hill in 2017. My dissertation developed R-squared statistics for the linear and generalized linear mixed model (see
r2glmm). In 2016, I was an adjunct professor of statistics at North Carolina Central University, teaching undergraduate and graduate level courses in statistics. From 2017-2021, I was an assistant professor of Biostatistics at University of Alabama at Birmingham. There, I studied machine learning, blood pressure, hypertension, cardiovascular disease, and wearable device data. What I like most about research is the programming that supports it. I am an enthusiastic R user, I’ve made a few R packages, and I’ve taught introductory courses to programming.
Legacy effect of intensive blood pressure control
To be writtenRead more
Optimized to fit, interpret, and make predictions with oblique random survival forests (ORSFs), this R package is written with an intuitive, formula based API. In addition to fitting ORSFs, several methods to estimate the importance of individual variables using an ORSF are available.Read more
R/Medicine Demo day - aorsf
A live demonstration of the aorsf R package, which provides fast routines to fit and interpret oblique random survival forests (RSFs). The talk also provides a light introduction to supervised learning, random forests, and oblique trees.Read more
Featured categoriesSeminar (3) Talk (3) Machine learning (2)
Sincere thanks to Alison Hill for developing the Apéro theme that supports this site, and to Yihui Xie for developing the blogdown package.