Jacob M. Maronge, PhD | Morse Scholar Alumni

Morse Scholar Alumni 2018–2020

Current Position

Statistics Leader in the Statistics and Data Science Innovation Hub
Oncology and Vaccines at GSK

Contact

About

Jacob Maronge is a Statistics Leader in the Statistics and Data Science Innovation Hub, Oncology and Vaccines at GSK. Jake is a biostatistician with interests in clinical trial design, observational study design, Bayesian methods, generalized linear models, machine learning, and oncology. Prior to joining GSK, Jake was a methodological biostatistician at a tech startup working at the intersection of clinical trials and machine learning. Jake earned his Ph.D. in Statistics at the University of Wisconsin on statistical methodology for epidemiological study designs with biased sampling schemes, then completed his postdoctoral training at the University of Texas MD Anderson Cancer Center, where he worked on Bayesian clinical trial design for precision medicine in early-phase oncology trials.

Education

2014	BS	Physics	University of Wisconsin-Milwaukee
2016	MS	Biostatistics	Louisiana State University Health Sciences Center
2021	PhD	Statistics	University of Wisconsin-Madison
2018–2020	Morse Scholar	Major Professor: Paul Rathouz, PhD	Waisman Center, University of Wisconsin-Madison
2021-2022	Postdoctoral Fellow		University of Texas, MD Anderson Cancer Center

Research Links

	https://www.linkedin.com/in/jacob-maronge-833185227/
	https://scholar.google.com/citations?user=1PLPJC4AAAAJ&hl=en
	https://www.jacobmaronge.org/

Selected Publications

Thomas, E. B. K., Sagorac Gruichich, T., Maronge, J. M., Hoel, S., Victory, A., Stowe, Z. N., & Cochran, A. (2023). Mobile Acceptance and Commitment Therapy With Distressed First-Generation College Students: Microrandomized Trial. JMIR mental health, 10, e43065. https://doi.org/10.2196/43065

Maronge, J. M., Schildcrout, J. S., & Rathouz, P. J. (2023). Model misspecification and robust analysis for outcome-dependent sampling designs under generalized linear models. Statistics in medicine, 42(9), 1338–1352. https://doi.org/10.1002/sim.9673

Maronge, J. M., Tao, R., Schildcrout, J. S., & Rathouz, P. J. (2023). Generalized case-control sampling under generalized linear models. Biometrics, 79(1), 332–343. https://doi.org/10.1111/biom.13571

Tao, R., Mercaldo, N. D., Haneuse, S., Maronge, J. M., Rathouz, P. J., Heagerty, P. J., & Schildcrout, J. S. (2021). Two-wave two-phase outcome-dependent sampling designs, with applications to longitudinal binary data. Statistics in medicine, 40(8), 1863–1876. https://doi.org/10.1002/sim.8876