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  • Jonathan Beall, PhD
  • Senior Biostatistician
  • Department of Public Health Sciences
  • College of Medicine, Medical University of South Carolina
  • Fax: 843-876-1923
  • Email: bealljo@musc.edu
  • Experience:
    Phase II-III clinical trials; drug and device trials
  • Research:
    Design, conduct, analysis of clinical trials; adaptive and Bayesian trial designs; Bayesian methodologies, latent variable methods
  • Projects:
    Neurological Emergencies (ischemic stroke, intracerebral hemorrhage and subarachnoid hemorrhage, traumatic brain injury)
Jonathan Beall, PhD, is an Assistant Professor of Biostatistics in the Department of Public Health Sciences (DPHS) at the Medical University of South Carolina (MUSC) and Senior Biostatistician with the Data Coordination Unit (DCU). He received his BA in Economics and BS in Mathematics from Mercer University (2016) and his PhD in Biostatistics from MUSC (2021). As a faculty member of the DCU, Dr. Beall is involved in the design, conduct and analysis of multi-center, randomized clinical trials implemented in the SIREN (Strategies to Innovate Emergency Care Clinical Trials) and StrokeNet clinical trials networks, including: C3PO (Clinical Trial of COVID-19 Convalescent Plasma of Outpatients), BOOST-3 (Brain Oxygen Optimization in Severe TBI Phase-3), CAPTIVA (Comparison of Anti-coagulation and Anti-platelet Therapies for Intracranial Vascular Atherostenosis), RHAPSODY-II (Recombinant variant of Human Activated Protein C (APC), in combination with tPA in acute hemispheric ischemic stroke), and HOBIT (Hyperbaric Oxygen Brain Injury Treatment Trial). His research interests include adaptive and Bayesian clinical trial designs, Bayesian methodologies, and latent variable methods. Dr. Beall actively serves on Data and Safety Monitoring Boards (DSMBs), grant review panels, as a reviewer for numerous journals, and professional organizations through internal committee membership (Society for Clinical Trials and South Carolina Chapter of the American Statistical Association).

Publications
 
  • Boucek K, Mastropietro CW, Beall J, Keller E, Beshish A, Flores S, Chlebowski M, Yates AR, Choudhury TA, Mueller D, Kwiatkowski DM, Migally K, Karki K, Willett R, Radman MR, Reddy C, Piggott K, Capone CA, Kapileshwarkar Y, Vijayakumar N, Prentice E, Narasimhulu SS, Martin RH, Costello JM.
  • Staged vs Complete Repair in Tetralogy of Fallot With Pulmonary Atresia.
  • Ann Thorac Surg. 2023 Jun;115(6):1463-1468. doi: 10.1016/j.athoracsur.2023.01.029. Epub 2023 Feb 2.
  • Beall J, Elm J, Chamberlain J, Rosenthal E, Kapur J, Durkalski-Mauldin V.
  • An Expected Score Approach to Ordinal Outcomes in a Bayesian, Response Adaptive, Randomized Trial.
  • Journal of Biopharmaceutical Statistics. 2023 January. doi: 10.1080/19466315.2023.2169344.

Presentations
 
  • Bayesian Enrollment Modeling for Several Emergency Medicine Clinical Trials
  • (Poster). Society for Clinical Trials. Baltimore, Maryland. May 2023.
  • Bayesian Predictive Probabilities After Multiple Imputation
  • (Poster). Society for Clinical Trials. Baltimore, Maryland. May 2023.
  • Interpreting a Bayesian Futility Clinical Trial.
  • (Poster). Society for Clinical Trials. May 2022. San Diego, California.
  • Developing Adaptive Trial Designs: A Collaborative Process Balancing Statistical Efficiency with Clinical Importance: KESET Trial Design.
  • Society for Clinical Trials 2022. May 2022. San Diego, California.
  • Bayesian Hierarchical Profile Regression for Binary Data.
  • St. Jude Children’s Hospital Future Fellows Research Conference, August 2021. St. Jude Children’s Hospital, Memphis, TN.
  • Classification of Physiologic Swallowing Impairment Severity: A Latent Class Analysis of Modified Barium Swallow Impairment Profile Scores.
  • Dysphagia Research Society 2020, Online
  • Latent Pattern Models with Application to Dysphagia Severity.
  • Department of Public Health Sciences, Medical University of South Carolina Department Brown Bag. 2019. Charleston, South Carolina.
  • Estimating severity from video-fluoroscopic metrics: What’s mild, moderate or severe?
  • Charleston Swallowing Conference, July 2018. Northwestern University, Evanston, IL.
  • ETF-Based Models for Liquidity Risk.
  • Joint Mathematics Meeting. January 2016. Seattle, Washington.
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