Byron Gajewski

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.

• Cancer Center Support Grant, NCI, Key Personnel
• 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
• Jiang, Yu, Simon, Steve, Mayo, Matthew., S., Gajewski, Byron., J.. 2015. Modeling and validating Bayesian accrual models on clinical data and simulations using adaptive priors. STATISTICS IN MEDICINE, 34 (4), 613-629
• 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