Philadelphia University + Thomas Jefferson University

George, Brandon

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Brandon J. George, PhD

Brandon J. George, PhD, MS

Contact Dr. George

901 Walnut Street
10th Floor
Philadelphia, PA 19107

(215) 503-3852
(215) 923-7583 fax


PhD, University of Alabama at Birmingham
MS, Washington University
BS, Washington University

University Appointments

Assistant Professor, Jefferson College of Population Health

Research & Practice Interests

Longitudinal Imaging Data
Cluster Randomized Trials
Predictive Modeling
Survival Analysis
Scientific Rigor and Reproducibility


Fundamentals of Health Statistics
Advanced Statistics


Dr. Brandon George is Assistant Professor in the Jefferson College of Population Health. Under the mentorship of Dr. Inmaculada Aban, he received his PhD in Biostatistics in 2014 from the University of Alabama at Birmingham (UAB). His dissertation considered a separable parametric spatiotemporal correlation structure for the analysis of longitudinal imaging data, inspired by a clinical trial at UAB that examined left ventricular remodeling in patients with mitral regurgitation. After finishing his dissertation, Dr. George worked in the Office of Energetics at UAB under Dr. David Allison, where he worked in the field of obesity and nutrition research both assisting with in-house projects and attempting to improve the caliber of statistics in that field to enhance scientific rigor and reproducibility. He also received a BS and MS in biomedical engineering in 2009 from Washington University in St. Louis, where he specialized in artificial surfaces for blood-contacting devices.


Most Recent Peer-Reviewed Publications

  1. Associations between human breast milk hormones and adipocytokines and infant growth and body composition in the first 6 months of life
  2. Randomization to Randomization Probability: Estimating Treatment Effects Under Actual Conditions of Use
  3. Comparisons of fatty acid taste detection thresholds in people who are lean vs. overweight or obese: A systematic review and meta-analysis
  4. An application of meta-analysis based on DerSimonian and Laird method
  5. Potential Errors and Omissions Related to the Analysis and Conclusions Reported in Cuspidi C, et al., AJH 2014; 27(2):146-156
  6. The importance of prediction model validation and assessment in obesity and nutrition research
  7. Incorrect statistical method in parallel-groups RCT led to unsubstantiated conclusions
  8. Urban park development and pediatric obesity rates: A quasi-experiment using electronic health record data
  9. Common scientific and statistical errors in obesity research
  10. Erratum: Impact of enteral nutrition on energy metabolism in patients with Crohn's disease (World Journal of Gastroenterology (2015))
  11. Applying a spatiotemporal model for longitudinal cardiac imaging data
  12. Reproducibility: A tragedy of errors
  13. Black and Hispanic Men Perceived to Be Large Are at Increased Risk for Police Frisk, Search, and Force
  14. High intensity interval- vs moderate intensity- training for improving cardiometabolic health in overweight or obese males: A Randomized controlled trial
  15. Selecting a separable parametric spatiotemporal covariance structure for longitudinal imaging data
  16. Statistical considerations for preclinical studies
  17. Survival analysis and regression models