Abigail Smith

Dr. Smith is a biostatistician with research interests in survival and recurrent event analysis and machine learning. She received her PhD from the University of Michigan in 2016. Her dissertation research focused on methods for assessing time-dependent treatment effects for recurrent event outcomes using the method of sequential stratification. She received a BA in Economics and Political Science from the University of Michigan in 2007, and an MS in Biostatistics from the University of Michigan in 2012. Dr. Smith joined Arbor Research in 2011 providing statistical support for the Adult-to-Adult Living Donor Liver Transplantation Cohort Study (A2ALL).

She currently provides statistical leadership to several projects in the Scientific and Data Coordinating Centers (SDCC) program area including the Symptoms of Lower Urinary Tract Dysfunction Network (LURN), where she serves as Deputy Program Director, the Cure Glomerularnephropathy Network (CureGN), and the Nephrotic Syndrome Study Network (NEPTUNE) where she serves as a co-investigator. She has expertise in a variety of statistical methods including regression, longitudinal and survival analysis, missing data methods, and supervised and unsupervised machine learning methods. She has experience with clinical research in urology, chronic kidney disease, and transplantation.