Ph.D., applied mathematics, Arizona State University; B.S., physics, Montclair State University
Summary of Experience
Dr. Patterson-Lomba has broad experience using mathematical epidemiology and statistical approaches to address a wide range of health care research challenges. His expertise includes comparative efficacy and safety, indirect mixed treatment comparisons, predictive analytics, and individualized medicine, as well as designing and implementing analytics platforms to enhance research capabilities. Dr. Patterson-Lomba has applied statistical methodologies to study clinical and economic outcomes in a broad range of disease areas (e.g., oncology, psychiatry, immunology, and ophthalmology) and data sources (e.g., clinical trials, medical claims, and surveys). His research has also involved analyzing complex contagion models to better understand the spread of infectious diseases in human populations, as well as the effectiveness of treatment strategies. Prior to joining Analysis Group, Dr. Patterson-Lomba was a postdoctoral fellow in the Department of Biostatistics at the Harvard T.H. Chan School of Public Health.
Progression-free Survival With First-line Endocrine-based Therapies Among Postmenopausal Women With HR+/HER2- Metastatic Breast Cancer: A Network Meta-analysis
Clinical Therapeutics. Apr 2018;40(4):628-639 e623
Comparative Effectiveness of nab-Paclitaxel Plus Gemcitabine vs FOLFIRINOX in Metastatic Pancreatic Cancer: A Retrospective Nationwide Chart Review in the United States
Progression-free survival with endocrine-based therapies following progression on non-steroidal aromatase inhibitor among postmenopausal women with hormone receptor positive, human epidermal growth factor receptor-2 negative metastatic breast cancer: a network meta-analysis
Current Medical Research and Opinion. 2018 Sep;34(9):1645-1652