Byron J. Gajewski, PhD

Professional Background

Personal Mission Statement: To positively impact public health through the development, testing and application of statistical methodology used for identifying health related risk factors, testing treatment interventions and estimating the public health impact of health policy decisions.

• PhD, Statistics, Texas A&M U.
• MS, Mathematics, Marquette Univeristy
• BS, Civil Engineering and Mathematics, Marquette University

• PStat®, Accredited Professional Statistician™, American Statistical Association, American Statistical Association

Research

Overview

My statistical methodological research interests center around Bayesian data analysis and its application to medicine, nursing, health professions, and other related fields. I am passionate about developing Bayesian adaptive designs and Bayesian monitoring tools for clinical trials.

• Hyperbaric Oxygen Treamtent Trial (HOBIT), NINDS, Multi-Principal Investigator
• Cancer Center Support Grant, NCI, Other
• Biomarker-Based Phase IIB Trial of (Bazedoxifene-Conjugated Estrogen) to Reduce Risk for Breast Cancer, NCI, Co-I
• Assessing Telephone All Nations Breath of Life for Efficacy , NIH, Co-I
• Rural Engagement in TelemedTeam for Options in Obesity Treatment Solutions (RE-TOOL) , NIH, Co-I

• Gajewski, Byron., J., Berry, Scott., M., Quintana, Melanie, Pasnoor, Mamatha, Dimachkie, Mazen, Herbelin, Laura, Barohn, Richard. 2015. Building efficient comparative effectiveness trials through adaptive designs, utility functions, and accrual rate optimization: finding the sweet spot. STATISTICS IN MEDICINE, 34 (7), 1134-1149
• Gajewski, Byron., J., Simon, Stephen., D., Carlson, Susan., E.. 2008. Predicting accrual in clinical trials with Bayesian posterior predictive distributions. STATISTICS IN MEDICINE, 27 (13), 2328-2340
• Barohn, Gajewski, Pasnoor, Brown, Herbelin, Kimminau, Mudaranthakam, Jawdat, Dimachkie, PAIN-CONTRoLS Study Team . 2021. Patient Assisted Intervention for Neuropathy: Comparison of Treatment in Real Life Situations (PAIN-CONTRoLS): Bayesian Adaptive Comparative Effectiveness Trial. JAMA Neurology, 78 (1), 68-76
• Befort, VanWormer, Desouza, Ellerbeck, Gajewski, Kimminau, Greiner, Perri, Brown, et al.. 2021. Effect of Behavioral Therapy With In-Clinic or Telephone Group Visits vs In-Clinic Individual Visits on Weight Loss Among Patients With Obesity in Rural Clinical Practice: A Randomized Clinical Trial. JAMA, 325 (4), 363-372
• KOttner, Jan, Audige, Laurent, Brorson, Stig, Donner, Allan, Gajewski, Byron., J., Hrobjartsson, Asbjorn, Roberts, Chris, Shoukri, Mohamed, Streiner, David., L.. 2011. Guidelines For Reporting Reliability and Agreement Studies (GRRAS) were proposed. JOURNAL OF CLINICAL EPIDEMIOLOGY, 64 (1), 96-106
• Gajewski, Meinzer, Berry, Rockswold, Barsan, Korley, Martin. 2019. Bayesian hierarchical EMAX model for dose-response in early phase efficacy clinical trials. Statistics in Medicine, 38 (17), 3123-3138
• Carlson, Gajewski, Valentine, Kerling, Weiner, Cackovic, Buhimschi, Rodgers, Sands, Brown, Mudaranthakam, Crawford, DeFranco . 2021. Higher dose docosahexaenoic acid supplementation during pregnancy reduces early preterm birth: a randomised, double-blind, adaptive-design superiority trial. EClinicalMedicine: a Publication by the Lancet, 36
• Gajewski, Kimler, Koestler, Mudaranthakam, Young, Fabian . 2023. A Novel Bayesian Adaptive Design Incorporating Both Primary and Secondary Endpoints for Randomized IIB Chemoprevention Study of Women at Increased Risk for Breast Cancer. Trials, 23, 981
• Richter, Catley, Gajewski, Faseru, Shireman, Zhang, Scheuermann, Mussulman, Nazir, Hutcheson, Shergina, Ellerbeck . 2023. The Effects of Opt-Out versus Opt-In Tobacco Treatment on Engagement, Cessation, and Costs. JAMA Internal Medicine, 183 (4), 331-339
• Gajewski, Faseru, Richter . 2024. Desire to Quit Smoking, Opt-Out Tobacco Treatment, and Cessation: A Secondary Analysis of a Randomized Clinical Trial. JAMA Network Open, 7 (9)