Miguel Marino, PhD, joined the Department of Family Medicine in 2012 and holds a joint appointment in the Biostatistics Group at the OHSU-PSU School of Public Health. Click here to view my current CV or click below on the "+" to read more.
Dr. Marino's research focuses on: development and implementation of novel statistical methodology to address complexities associated with the use of electronic health records (EHRs) to study changes in policy; using EHRs to study health disparities; validation of EHRs as a reliable source for observational studies; pragmatic randomized trials; preventive health maintenance.
Dr. Marino's education includes: Yerby Postdoctoral Fellow, Harvard School of Public Health (2012); PhD in Biostatistics, Harvard University (2011); AM in Biostatistics, Harvard University (2008); MS in Biostatistics, UCLA (2006); and a BS in Mathematics/Applied Science, UCLA (2004).
Dr. Marino currently serves as representative-at-large for the Western North American Region of the International Biometric Society, the statistical editor for the Annals of Family Medicine Journal, and is the lead biostatistician for the national evaluation initiative, EvidenceNOW: Advancing Heart Health in Primary Care.
For more information and research resources, please visit miguelmarino.com
Areas of interest
- Analysis of large-scale observational data
- Primary Care and Prevention Studies
- Multilevel and longitudinal Modeling
- Health insurance and vulnerable populations
- Missing Data Methods
- Social Determinants of Health
- B.S., University of California, Los Angeles 2004
- M.S., University of California, Los Angeles 2006
- Ph.D., Harvard University 2011
Memberships and associations
- American Statistical Association
- North American Primary Care Research Group
SELECTED LIST OF PUBLICATIONS. For more information, click on link above to access CV.
Marino M, Bailey S, Gold R, Hoopes M, O'Malley JP, Huguet N, Heintzman J, Gallia C, McConnell KJ, DeVoe JE. (2016) Receipt of Preventive Services after Oregon's Randomized Medicaid Experiment. American Journal of Preventive Medicine, 50(2):161-170.
Marino M, Buxton O, Li Y. (2017) Covariate Selection for Multilevel Models with Missing Data. Stat, 6(1):31-46.
DeVoe JE, Marino M, Gold R, Hoopes MJ, Cowburn S, O'Malley JP, Heintzman J, Gallia C, McConnell KJ, Nelson CA, Huguet N, Bailey SR. Community Health Center Use After Oregon's Randomized Medicaid Experiment. Annals of Family Medicine, 13(4):312-320.
Heintzman J, Marino M, Hoopes M, Bailey SR, Gold R, O'Malley J, Angier H, Nelson C, Cottrell E, DeVoe J. (2015) Supporting Health Insurance Expansion: Do Electronic Health Records Have Valid Insurance Verification and Enrollment Data? Journal of the American Medical Informatics Association, 22(4):909-13.
DeVoe J, Marino M, Angier H, O'Malley J, Crawford C, Nelson C, Tillotson C, Bailey S, Gallia C, Smith J, Gold R. (2015) Effect of Expanding Medicaid for Parents Positively Affects Children's Health Insurance Coverage: Lessons from the Oregon Experiment. JAMA Peds, 169(1):e143145.
Marino M, Li Y, Pencina MJ, D'Agostino RB, Berkman L, Buxton O. (2014) Quantifying Cardiometabolic Risk Burden Using Modifiable Non-self-reported Risk Factors. American Journal of Preventive Medicine. 47(2):131-140.
Marino M, Li Y, Rueschman M, Winkelman J, Ellenbogen J, Solet J, Dulin H, Berkman L, Buxton O. (2013) Measuring sleep: accuracy, sensitivity, and specificity of wrist actigraphy compared to polysomnography. SLEEP, 36(11):1747-1755.
Heintzman J, Marino M. (2019) Race and Ethnicity Data in Research. JAMA, 321(12):1217- 1218.