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Yiyi Chen is an associate professor of biostatistics at the School of Public Health. Her primary areas of expertise include statistical methods in clinical trials, adaptive design, Bayesian method, decision theory and computational statistics. She has been heavily involved with research projects through the Biostatistics Shared Resource of the OHSU Knight Cancer Institute and the Oregon Clinical and Translational Research Institution for over eight years. During that time, she has collaborated with investigators on grant applications, study designs, randomizations, data analyses and manuscript developments.
Chen has taught five courses in statistics over the years at OHSU and has independently developed an online biostatistics course – Statistical Methods in Clinical Trials – which has become a required course for all students in the biostatistics program. She also is a member of the Curriculum Committee of Biostatistics at the School of Public Health.
B.A., Zhejiang University, 1998
M.A., Fudan University, 2001
M.A., University of Iowa, 2004
M.S., University of Iowa, 2005
Ph.D., University of Iowa, 2008
Awards and Honors
- 2015, Outstanding Reviewer (Contemporary Clinical Trials)
- 2008, student scholarship for excellent research from Society for Clinical Trials
- 2007, University of Iowa Graduate Summer Fellowship
- 2007, Charles B. Sampson Student Poster Award 1st Place, 30th Annual Midwest Biopharmaceutical Statistics Workshop, Muncie, Ind.
- 1U01 CA154602 (Huang and Ryan) 9/01/2011 – 8/31/2016
- 1 UL1 RR024140-01 (Orwoll, Eric) 7/01/2011 – 06/30/2016
- VA (RR&D) Merit Review (Bourdette, Dennis) 7/01/2012 –6/30/2017
- 5 UL1 TR000128 09 3/01/2015 – 6/30/2016
- Valvano Foundation Translational Award (Alexander Guimaraes) 10/01/2015 – 9/30/2018
- 1 R01 CA120861-01A2 Huang (PI) 09/17/2007 -07/31/2010
- OCTRI/Knight Cancer Institute pilot project funding Chen (PI) 12/01/2009 – 11/30/2010
- 7005-11 Specialized Center of Research (Druker, Brian) 10/1/2010 – 9/30/2015
Dongseok Choi is a data scientist who led the creation of two new biostatistics graduate programs that are now part of the School of Public Health – the Master of Science in Biostatistics and the Graduate Certificate in Biostatistics. He served as the co-director of both programs from 2010 to 2015.
His current research interests are developing semi-supervised learning and “bump hunting” algorithms for big data, statistical methods for next generation sequencing data, and hierarchical generalized mixed-effects models by h-likelihood. He is a sought-after collaborative scientist working on the interdisciplinary and translational research in ophthalmology, otolaryngology and inflammation diseases.
Choi founded the Korean International Statistical Society in 2011 and was the founding president. He was elected as a Fellow of the American Statistical Association in 2012 and became an elected member of the International Statistical Institute in 2013. In 2016, he was nominated to serve in the American Statistical Association Fellows Committee that selects new fellows of the association.
B.S., Seoul National University, 1988
Ph.D., The University of Chicago, 1999
Awards and Honors
- 2013, elected member, the International Statistical Institute
- 2012, Fellow, The American Statistical Association (Elected)
- 2003 Travel award for National Bureau of Economic Research/National Science Foundation Time Series conference
- 1997, Young Professional, The Organization for Economic Cooperation & Development
- 1988, Magna cum laude, Seoul National University
- P30EY010572-20 (Morrison) 7/01/2015 – 6/300/2020 NIH/NEI Ophthalmology Core Facility, Role: Co-Investigator
- 5R01EY010145-16 (Morrison) 4/1/2013 – 3/31/2018 NIH/NEI Studies in Glaucomatous Optic Nerve Damage, Role: Co-Investigaator
- 1R15DE024317-01 (Machida) 09/15/2014 – 08/31/2017 NIH/NIDCR Dominant Mutans Streptococci Genetic Strains in Caries Active Children, Role: Co-Investigator
- R01 DC011034 (Barr-Gillespie) 7/1/2015 – 6/30/2020 NIH/NIDCD Hair Bundle Structure and Dynamics, Role: Co-Investigator
- R01 DC014427(Barr-Gillespie & Müller, MPI) 12/01/15 – 11/30/20 NIH/NICDC Functions of Myosin VII in Mechanosensory Hair Cells, Role: Co-Investigator
- R24 EY022023 (Hauswirth/Weleber) 6/01/2013 – 5/31/2018 NIH/NEI rAAV-CNGB3 Gene Therapy for Achromatopsia: Translational Research Studies, Role: Co-Investigator
- 2R01EY020249-05 (Rosenbaum) 9/1/2016 – 8/31/2021 NIH/NEI Gene Expression in Nonspecific Orbital Inflammatory Disease, Role: Co-Investigator
Dr. Kenneth James, Professor Emeritus, taught in the Biostatistics programs and has experience as a researcher and administrator in biomedical and health services clinical trials as well as longitudinal studies and medical testing. Dr. James’ involvement in these areas include study design analysis and assistance in the preparation and submission of study results for publication.
For 18 years he was the director of two biostatistical coordinating centers for large scale clinical trials funded by the Department of Veterans Affairs Cooperative Studies Program. Over that period of time, Dr. James was involved in the support of approximately 150 investigators involving 100+ VA and non-VA medical centers.
Dr. James was the co-investigator/biostatistician for a trial titled Stroke Prevention in Non-valvular Atrial Fibrillation that demonstrated the efficacy of low-dose warfarin for the prevention of strokes in patients with non-valvular atrial fibrillation. The study was published in the New England Journal of Medicine in 1992. This, along with several similar trials, resulted in a change in the treatment of patients with atrial fibrillation.
Ph.D., University of Minnesota, 1969
M.S., University of Minnesota, 1967
B.S., Walla Walla College, 1965
Amber Lin is a staff biostatistician with OHSU’s Center for Policy and Research in Emergency Medicine and an instructor with the School of Public Health. She is a graduate of OHSU’s Masters of Biostatistics program. Lin also supports the NIH K12 Oregon Emergency Care Research Multidisciplinary Training Program by assisting scholars with study design and data analysis on their journey to becoming independently funded investigators. She enjoys teaching introductory biostatistics courses and exposing students to the everyday and exceptional uses of statistics.
B.A., Macalaster College, 2007
M.S., Oregon Health & Science University, 2014
Miguel Marino’s research interest lies in population-based studies using large administrative observational data sources and electronic health records. He focuses on development and implementation of novel statistical methodology to address complexities associated with the use of electronic health records to study changes in policy, validation of the electronic reords as a reliable source for observation studies, and design and analysis of cluster-based randomized trials. Marino is also involved in the development of new cardiometabolic risk prediction models for preventive health maintenance and the study of the effect of workplace interventions on sleep and cardiometabolic outcomes. Marino is also the lead biostatistician for the national evaluation of the Agency for Healthcare Research & Quality initiative called EvidenceNOW: Advancing Heart Health in Primary Care.
Along with his research, Marino is interested in mentoring graduate students and teaching statistical principles to non-statistician audiences through OHSU’s clinical and translational science program and social media.
B.S., University of California Los Angeles 2004
M.S., University of California Los Angeles, 2006
Ph.D., Harvard University, 2011
Awards and Honors
- 2013, Junior Researchers Workshop Travel Award, Eastern North American Region, International Biometric Society
- 2012, HSPH Robert Wood Johnson Foundation Seed Grant Award
- 2010, Harvard School of Public Health Teaching Assistant Award
- 2010, Distinguished Student Paper Award, Eastern North American Region, International Biometric Society
- 2010, Best Student Paper Award, American Public Health Association
- R01CA204267-01 (DeVoe)04/01/2016 – 03/31/2021 NCI, ACCESS: Assessing Community Cancer Care after Insurance Expansions ACCESS is a natural experiment to study the impact of increased access to health insurance on cancer screening, preventive services, and cancer survivor care. This study will use EHR data from the ADVANCE clinical data research network of PCORnet to analyze data from CHCs in expansion and non-expansion states.
- U18DP006116-01 (DeVoe) 09/30/2015 – 09/29/2020, CDC/NIDDK PREVENT-D: Post ACA Reform: Evaluate Community Health Center Care for Diabetes This study will measure the impact of Affordable Care Act Medicaid expansions on diabetes mellitus prevention, treatment, expenditures and health outcomes.
- R01HS024270-01 (DeVoe)09/30/2015 – 09/29/2017, AHRQ PACE: Post Affordable Care Act Evaluation of Community Health Centers This study will measure the impact of Affordable Care Act-sponsored Medicaid expansions on access to and utilization of community health center services.
- R01HS022651-02 (DeVoe) 07/10/2015 – 05/31/2019, AHRQEvaluating Community Health Centers’ Adoption of a New Global Capitation Payment (eCHANGE) This study will evaluate the outcomes of the eight Oregon Community Health Centers who participated in an Alternative Payment Methodology demonstration project in which all their Medicaid revenue was paid through a prospective, capitated per-member per-month rate.
- R01HS023940-02 (Cohen) 05/01/2015 – 04/30/2019, AHRQEvaluating System Change to Advance Learning and Take Evidence to Scale (ESCALATES) This study will evaluate the R18s funded by AHRQ through RFA-HS-14-008. In this study, we will engage R18 grantees in the overall evaluation by harmonizing measures and working together on data collection and analysis, identify the practice, organization and contextual factors among the combined 2000 practices that are associated with higher and lower levels of deliver of ABCS at baseline (prior to any intervention), identify which intervention strategies implemented by R18 grantees are most effective at improving delivery of ABCS services and practice quality improvement capacity over time and in relation to practice, organization and contextual factors, and identify why some strategies are more effective.
- R01CA181452-03 (DeVoe)07/1/2014 – 06/30/2019, NCI Community-based HIT Tools for Cancer Screening and Health Insurance Promotion The project is a cluster randomized trial in 12 Community Health Centers to test the effectiveness of implementing Community-based HIT Tools for Cancer Screening and Health Insurance Promotion (“CATCHUP” tools) in improving rates of (1) cancer screening and prevention services; and (2) health insurance coverage.
- R01DA031208-05 (Deyo) 02/15/2012 – 01/31/2017, NIDA Use of Prescription Monitoring Programs to Improve Patient Care and Outcomes The overarching goal of this research is to help providers improve the care of complex patients requesting controlled prescription medication. The project involves an evaluation of a newly implemented statewide prescription monitoring program.
- 2U19OH010154-01 (Olson) 09/01/2016 – 08/31/2021 CDC The Oregon Healthy Workforce Center A NIOSH Total Worker Health™ Center of Excellence, the center develops and evaluates workplace interventions to improve safety, health, wellness and well-being. Total Worker Health addresses the needs of the whole person, stresses prevention rather than recovery, and recognizes the great potential of workplace programs to produce organizational and individual behavior change that improves health and reduces accidents. The health of the US population can be improved through prevention, and that is our focus.
Motomi “Tomi” Mori is a professor of biostatistics in the School of Public Health, a professor in the OHSU School of Medicine’s Department of Medical Informatics & Clinical Epidemiology and director of the Biostatistics Shared Resource at OHSU’s Knight Cancer Institute.
She has published over 130 articles and has 27 years of experience in cancer research. Her current research interest includes clinical trial designs for molecularly targeted agents, biomarker validation and evaluation of personalized medicine in treatment and prevention.
Prior to her time at OHSU and the School of Public Health, Mori was a research assistant professor in the Department of Biostatistics at the University of Washington and a lead biostatistician for the Huntsman Cancer Institute at the University of Utah. She was head of the Division of Biostatistics in the Department of Public Health & Preventive Medicine from 2004 to 2014.
B.A., University of Montana, 1982
M.S., University of Iowa, 1985
Ph.D., University of Iowa, 1989
M.B.A., OHSU-PSU, 2016
Awards and Honors
- 2010, Fellow of the American Statistical Association
- 2005, Outstanding Alumni Award, University of Iowa
- OHSU Knight Cancer Institute (NIH/NCI P30CA069533), Brian Druker (PI), 07/01/2017-06/30/2022
- BEAT-AML: Personalized Medicine for AML Based on Functional Genomics (Leukemia & Lymphoma Society), Brian Druker (PI), 05/01/2013-06/30/2018
- Community-Based HIT Tools for Cancer Screening and Health Insurance Program (NIH/NCI R01CA181452), Jennifer DeVoe (PI), 7/1/2014-6/30/2019
- Proteogenomic Analysis of Drug Response and Resistance in AML to Guide Targeted Therapies (NIH/NCI U01CA214116), Karin Rodland/Brian Druker (PIs), 06/08/2017-06/07/2018
Byung Park is an associate professor in the School of Public Health and is a biostatistician with the Knight Cancer Institute and the Oregon National Primate Research Center. He has a strong interest in the design and analysis of oncology clinical trials and survival analysis.
His statistical research focuses on experimental design, general linear models, and statistical methods on high dimensional genomic data analysis. His research as a collaborative biostatistician has concentrated on early stages of clinical trial designs and statistical analysis methodologies on the fields of immunology, including vaccine development and immunesenescence.
His current cancer research interest focuses on designs of earlier phases of oncology clinical trials for targeted agents, statistical analysis of clinical trials and statistical methods for high dimensional genomic data.
Ph.D., Statistics, Oregon State University, 2002
M.S., Economics, Sung Kyun Kwan University, 1992
B.A., Economics, Sung Kyun Kwan University, 1990
Awards and Honors
- 2002, Jerome Lee Award, Oregon State University
- 2008, AACR Cancer Biostatistics Workshop Scholarship – Developing Targeted Agents
- 5P30 CA69533-18 (Druker) 7/20/2011–6/30/2017 NIH/NCI GCNCR0356C38 OHSU Knight Cancer Institute Role: Biostatistician
- 5R01AI104229-02 (Lewinsohn) 7/5/2013 – 6/30/2017 NIH/NIAID GPEDI0773A The innate capacity of human T cells to respond to Mycobacterium tuberculosis Role: Biostatistician
- 2P51OD011092-56 (Carbone) 5/01/2016 – 4/30/2017 NIH/OD GPRC55122 last year’s Direct cost Support for the Oregon National Primate Research Center Role: Biostatistician
- 1 R01 HD082208 01A1 (Xu) 8/13/2015-5/31/2020, NIH, Anti-Mullerian Hormone Actions to Control Primate Folliculogenesis Role: Co-Investigator
- 1 U01 HD087182-01 (Frias), 9/1/2015 – 8/31/2019, NIH/DHHS, $4,323,956 Functional imaging of human placental structure, blood flow, and oxygenation Role: Biostatistician
- 1 R01 HL29060 01 (Spindel / McEvoy), 8/15/2015 – 5/31/2020, NIH/NHLBI, CPAP Drives Lung Growth and Pulmonary Function in Moderately Preterm Primates Role: Co-I
- 1 R01 AI117802 01 (Sacha), 03/1/15 – 02/28/19, NIH/NIAID, A Universal MHC-E-restricted T Cell Vaccine for HIV Role: Co-Investigator
- R01 AA024757 (Ford), 04/01/16-03/31/19, NIH/NIAAA, GDNF Therapy to Block Relapse of Heavy Alcohol Use in Monkeys Role: Co-Investigator
Dawn Peters areas of interest include clinical trial methodology and observational methods. Prior to joining OHSU in 2003, Peters was awarded a National Institutes of Health K-25 Career Development Award, which allowed her to work at Kaiser Permanente Center for Health Research for two years. She collaborated with investigators on a variety of projects and conducted research in randomization for clinical trials.
Before the NIH award, she was an associate professor of statistics at Oregon State University, where she conducted methodological research and taught undergraduate and graduate statistics courses.
B.A., Pscyhology, University of Florida, 1979
M.S., Statistics, University of Florida, 1988
Ph.D., Statistics, University of Florida, 1988
Hillary Regan serves as the Administrator for the Biostatistics & Design Program (BDP) as well as the Coordinator for the Preventive Medicine Residency Program. She has over 20 years of administrative experience at OHSU and has worked in public health since 2011. Hillary’s career interests include design thinking, conflict transformation, and process improvement.
David Yanez is co-director of the OHSU Biostatistics and Design Program and the Biostatistics, Epidemiology and Research Design program within the Oregon Clinical and Translational Research Institute.
His research interests include robust or distribution-free methods in applied statistical analysis, measurement error models, generalized linear and quasi-likelihood models, longitudinal data analysis, clinical research in anesthesia and perioperative medicine, emergency medicine, cardiovascular disease research and biostatistical consulting.
Prior to joining the OHSU-PSU School of Public Health, Yanez served on the faculty of the Department of Biostatistics at the University of Washington and as the department’s graduate program director. Yanez was also a visiting professor at King Saud University and a research scientist at Seattle Children’s Research Institute.
B.S., Arizona State University, 1987
M.S., Arizona State University, 1989
Ph.D., Arizona State University, 1993
- Yanez ND, Aljasser IA, Andre M, Hu C, Juraska M, Lumley T. Assessing the impact of measurement error in modeling change in the absence of auxiliary data. Communications in Statistics, 46(6):2667-2680, 2016.
- Suchy-Dicey A, Laha T, Hoofnagle A, Sirich T, Meyer T, Thummel K, Yanez ND, Himmelfarb J, Weiss NS, Kestenbaum BR. Renal tubular secretion in chronic kidney disease: description, determinants, and outcomes. J Am Soc Nephrol. 2016 Jul; 27(7): 2148-2155. PMID: 26614381.
- Deem S, Yanez D, Sissons-Ross, L, Elrod-Brockel JA, Daniel S, Treggiari M. Randomized Pilot Trial of Endotracheal Tubes to Prevent Ventilator-Associated Pneumonia. Ann. Am. Thor. Soc. 2016. Jan; 13(1): 72-80. PMID: 26523433.
- Richards MK, Yanez D, Goldin AB, Grieb T, Murphy W, Drugas G. Factors associated with 30-day unplanned surgical readmission in a children’s hospital.Am. J. Surg. 2016 Sep: 212(3):426-632. PMID: 26924805.
- Tanaka P, Yanez D, Lemmens H, Djurdjulov A, Scotto L, Borg L, Walker K Bereknyei S, Macario A. Impact of an innovative classroom-based lecture series on residents’ evaluations of an anesthesiology rotation. Anesthesiol. Res. Pract. 2016; 2016: 8543809. doi:10.1155/2016/8543809. PMID: 26989407.
- Devine EB, Alfonso-Cristancho R, Yanez ND, Edwards TC, Patrick DL, Armstrong C, Devlin A, Symons RG, Meissner M, Lavallee D, Kessler L, Flum DR, and the CERTAIN Collaborative. Patient-Reported Outcomes after Medical versus Revascularization Interventions for Intermittent Leg Claudication. JAMA Surgery. 2016 Oct 19; 151(10). PMID: 27760274.