Scott D. Rothenberger, PhD

  • Assistant Professor of Medicine
  • Statistician, Center for Biostatistics and Qualitative Methodology (CBQM)
Academic Interests

Dr. Rothenberger's statistical interests include time series methods, state-space modeling, functional data analysis, the analysis of functional correlations, methods for analyzing ecological momentary assessment (EMA) data, analysis of administrative/claims/EHR data, observational data methods, and the analysis of correlated data. Soon after joining the Center for Biostatistics and Qualitative Methodology as a statistician, he developed a strong interest in the design, analysis, and coordination of clinical trials. He has collaborated on studies in areas such as pregnancy care, mood and anxiety disorders, substance use disorders, sleep medicine, chronobiology, obesity, periprosthetic joint infection, and polycystic kidney diseased (PKD). he collaborated as a biostatistician for the Data Coordinating Center for the HALT-PKD Network and is currently the lead statistician on a NHLBI-funded multisite clinical trial comparing treatments to reduce menorrhagia in women with von Willebrand disease. Additionally, he is Co-I on a NIMH-funded clinical trial to evaluate the effectiveness of a blended care model for the treatment of heart failure and co-morbid depression.

He also enjoys working with clinician educators and recipients of DGIM awards, serving on thesis and doctoral committees and as the lead biostatistician for the Clinical and Translational Science Scholar's (KL2) and Fellowship (TL1) programs offered by the Institute for Clinical Research Education (ICRE) and CTSI. Currently, Dr. Rothenberger provides statistical support to nine K12 scholars, virtually all of whom he has collaborated with in some way. He is also the statistical "concierge" for 20 TL1 fellows.

Dr. Rothenberger has instructed courses such as Logistic Regression and Analysis of Correlated Data, offered by the ICRE. He also collaborates with the IDAE Lab and provides multimedia learning resources to students enrolled in the ICRE's introductory biostatistics course.

    Education & Training

  • BS, Physics, University of Pittsburgh, 2007
  • PhD, Statistics, University of Pittsburgh, 2014