Global Health
-

Sherri Rose, PhD  is an Associate Professor of Health Policy at the Stanford School of Medicine and Co-Director of the Health Policy Data Science Lab. Her research is centered on developing and integrating innovative statistical machine learning approaches to improve human health and health equity. Within health policy, Dr. Rose works on risk adjustment, ethical algorithms in health care, comparative effectiveness research, and health program evaluation. She has published interdisciplinary projects across varied outlets, including BiometricsJournal of the American Statistical AssociationJournal of Health EconomicsHealth Affairs, and New England Journal of Medicine. In 2011, Dr. Rose coauthored the first book on machine learning for causal inference, with a sequel text released in 2018. She has been Co-Editor-in-Chief of the journal Biostatistics since 2019.

Dr. Rose has been honored with an NIH Director's New Innovator Award, the ISPOR Bernie J. O'Brien New Investigator Award, and multiple mid-career awards, including the Gertrude M. Cox Award and the Mortimer Spiegelman Award, the nation’s highest honor in biostatistics, given to a statistician younger than 40 who has made the most significant contributions to public health statistics. She was named a Fellow of the American Statistical Association in 2020 and received the 2021 Mortimer Spiegelman Award, which recognizes the statistician under age 40 who has made the most significant contributions to public health statistics. Her research has been featured in The New York Times, USA Today, and The Boston Globe. 

Title: New and Ongoing Projects at the Interface of Machine Learning for Health Policy

 

Register in advance for this meeting: https://stanford.zoom.us/meeting/register/tJIpdOispzojH9bzpXrF3_VpYcbPN9Hcgbbw After registering, you will receive a confirmation email containing information about joining the meeting.

Encina Commons,
615 Crothers Way
Stanford, CA 94305-6006

 

0
Professor, Health Policy
Professor, Computer Science (by courtesy)
sherri_rose-portrait.jpg PhD

Sherri Rose, Ph.D. is a Professor of Health Policy and, by courtesy, of Computer Science at Stanford University, where she is Director of the Health Policy Data Science Lab. Her research is centered on developing and integrating innovative statistical machine learning approaches to improve human health and health equity. Within health policy, Dr. Rose works on ethical algorithms in health care, risk adjustment, chronic kidney disease, and health program evaluation. She has published interdisciplinary projects across varied outlets, including Biometrics, Journal of the American Statistical Association, Journal of Health Economics, Health Affairs, and New England Journal of Medicine. In 2011, Dr. Rose coauthored the first book on machine learning for causal inference, with a sequel text released in 2018.

Dr. Rose has been honored with an NIH Director’s Pioneer Award, NIH Director's New Innovator Award, the ISPOR Bernie J. O'Brien New Investigator Award, and multiple mid-career awards, including the Gertrude M. Cox Award. She is a Fellow of the American Statistical Association (ASA) and received the Mortimer Spiegelman Award, which recognizes the statistician under age 40 who has made the most significant contributions to public health statistics. In 2024, she received both the ASHEcon Willard G. Manning Memorial Award for Best Research in Health Econometrics and the ASA Outstanding Statistical Application Award. She was recently awarded the Open Science Champion Prize by Stanford University. Her research has been featured in The New York Times, USA Today, and The Boston Globe. She was Co-Editor-in-Chief of the journal Biostatistics from 2019-2023.

She received her Ph.D. in Biostatistics from the University of California, Berkeley and a B.S. in Statistics from The George Washington University before completing an NSF Mathematical Sciences Postdoctoral Research Fellowship at Johns Hopkins University. 

Director, Health Policy Data Science Lab
Date Label
Associate Professor of Health Policy Stanford University
-

Title: Customer Discrimination and Quality Signals: A Field Experiment with Healthcare Shoppers

Abstract: This paper provides evidence that customer discrimination in the market for doctors can be largely accounted for by statistical discrimination. I evaluate customer preferences in the field with an online platform where cash-paying consumers can shop and book a provider for medical procedures based on an experimental paradigm called validated incentivized conjoint analysis (VIC). Customers evaluate doctor options they know to be hypothetical to be matched with a customized menu of real doctors, preserving incentives. Racial discrimination reduces patient willingness-to-pay for black and Asian providers by 12.7% and 8.7% of the average colonoscopy price respectively; customers are willing to travel 100–250 miles to see a white doctor instead of a black doctor, and somewhere between 50–100 to 100–250 miles to see a white doctor instead of an Asian doctor. Further, providing signals of provider quality reduces this willingness-to-pay racial gap by about 90%, which suggests that statistical discrimination is an important cause of the gap. Actual booking behavior allows cross-validation of incentive compatibility of stated preference elicitation via VIC. 

Alex Chan, MPH

Alex Chan is a PhD candidate in Health Economics, and a Gerhard Casper Stanford Graduate Fellow. He has research interests in health economics, experimental economics, market design, and labor economics. His projects look at the causes and consequences of discrimination and diversity in medicine, U.S. Health Policy (especially organ transplantation), and market design in health policy and medicine. He holds an MPH from Harvard University. Before Stanford, he developed extensive experience in the healthcare industry starting as a McKinsey consultant, and most recently as Senior Vice President of Market Strategy with Optum/UnitedHealth before joining academia.

Personal Website: https://www.alexchan.net 

Register in advance for this meeting:


https://stanford.zoom.us/meeting/register/tJEsdOGppjMtGtPVKFHk0vX_TMCK5PzMa_Mv

After registering, you will receive a confirmation email containing information about joining the meeting.

0
PhD Student Alumni, SHP
text_image_552770846.img_.320.high_.jpg

Alex Chan graduated with a PhD in 2023.

PhD Candidate in Health Economics Department of Health Policy, Stanford University
-

Amanda Starc, Ph.D.

Associate Professor of Strategy at the Kellogg School of Management
Faculty Research Fellow at the National Bureau of Economic Research (NBER)

Professor Amanda Starc received her BA in Economics from Case Western Reserve University, and her PhD in Business Economics from Harvard University. Dr. Starc's research interests include industrial organization and health economics. Her research examines the Medicare Advantage, Medicare Part D, and Medicare Supplement ("Medigap") markets, as well as consumer behavior in insurance exchanges. Recent work measures the effectiveness of direct-to-consumer advertising of pharmaceuticals. Her work links models of consumer choice and supply side incentives, and uses a range of econometric techniques to analyze data.

This will be an in-person event: Encina Commons, Conference Rom 119, with a boxed lunch served.

Amanda Starc Associate Professor Northwestern University, Kellogg School of Management
-

Stacie B. Dusetzina, Ph.D

Associate Professor, Health Policy
Ingram Associate Professor of Cancer Research, Vanderbilt University Medical Center

Dr. Dusetzina is an associate professor in the Department of Health Policy and an Ingram associate professor of cancer research at Vanderbilt. She is a health services researcher whose work focuses on measuring and evaluating population-level use and costs of medications in the United States. Dr. Dusetzina’s work has contributed to the evidence base for the role of drug costs on patient access to care and policy changes that might improve patient access to high-priced drugs.

She has been recognized for her work at a national level, including being an invited participant for two working group meetings on “Patient Access to Affordable Cancer Drugs,” hosted by the President’s Cancer Panel, and being selected to co-author a National Academies of Sciences, Engineering and Medicine report on the same topic. Dr. Dusetzina’s research has also been broadly covered by The New York Times, NPR, Reuters, The Washington Post, STAT News, ABC News and The Wall Street Journal

In addition to her work on drug pricing, Dr. Dusetzina is a population health scientist and pharmacoepidemologist specializing in large data informatics. She has authored or co-authored more than 163 peer reviewed applied studies using Medicaid, Medicare, and commercial insurance claims data, and contributed several methods papers to the field. 

Seminar Title: Improving Access to Prescription Drugs through Policy Change

Register in advance for this meeting:

https://stanford.zoom.us/meeting/register/tJcqcOGprzwjE9Zk2c4-HkitCU8mm93vJhFD 

After registering, you will receive a confirmation email containing information about joining the meeting.

Stacie B. Dusetzina Associate Professor, Health Policy Vanderbilt University
-

Image
Research in Progress

Virtual Zoom Meeting

Register in advance for this meeting:
https://stanford.zoom.us/meeting/register/tJ0vd-uqpzotG9A2hNNONij91XIWVXjxdJDO

After registering, you will receive a confirmation email containing information about joining the meeting.

Y2E2
473 Via Ortega
Stanford, CA 94305

(650) 723-4129 (650) 725-3402
0
Faculty Lead, Center for Human and Planetary Health
Professor of Medicine (Infectious Diseases)
Professor of Epidemiology & Population Health (by courtesy)
Senior Fellow at the Freeman Spogli Institute for International Studies
Senior Fellow at the Woods Institute for the Environment
Faculty Affiliate at the Stanford Center on China's Economy and Institutions
steve_luby_2023-2_vert.jpg MD

Prof. Stephen Luby studied philosophy and earned a Bachelor of Arts summa cum laude from Creighton University. He then earned his medical degree from the University of Texas Southwestern Medical School at Dallas and completed his residency in internal medicine at the University of Rochester-Strong Memorial Hospital. He studied epidemiology and preventive medicine at the Centers for Disease Control and Prevention.

Prof. Luby's former positions include leading the Epidemiology Unit of the Community Health Sciences Department at the Aga Khan University in Karachi, Pakistan, for five years and working as a Medical Epidemiologist in the Foodborne and Diarrheal Diseases Branch of the U.S. Centers for Disease Control and Prevention (CDC) exploring causes and prevention of diarrheal disease in settings where diarrhea is a leading cause of childhood death.  Immediately prior to joining the Stanford faculty, Prof. Luby served for eight years at the International Centre for Diarrhoeal Diseases Research, Bangladesh (icddr,b), where he directed the Centre for Communicable Diseases. He was also the Country Director for CDC in Bangladesh.

During his over 25 years of public health work in low-income countries, Prof. Luby frequently encountered political and governance difficulties undermining efforts to improve public health. His work within the Center on Democracy, Development, and the Rule of Law (CDDRL) connects him with a community of scholars who provide ideas and approaches to understand and address these critical barriers.

 

Director of Research, Stanford Center for Innovation in Global Health
Affiliated faculty at the Center on Democracy, Development and the Rule of Law
CV
Date Label

Encina Commons,
615 Crothers Way Room 182,
Stanford, California 94305-6006

(650) 498-7528
0
Associate Professor, Health Policy
MS in Health Policy Program Director
maria_4_-_copy.jpg PhD

Maria Polyakova, PhD, is an Associate Professor of Health Policy at the Stanford University School of Medicine. Her research investigates the impact of government interventions in healthcare markets. She is especially interested in the broad economic impacts of public health insurance systems and the structure of healthcare labor markets. Her work also investigates the drivers of individual decision-making in health care and the roots of socio-economic differences in health outcomes. Dr. Polyakova received a BA degree in Economics and Mathematics from Yale University, and a PhD in Economics from MIT.

Date Label

Encina Commons, Room 220
615 Crothers Way
Stanford, CA 94305-6006

(650) 721-2486 (650) 723-1919
0
Professor, Health Policy
jeremy-fisch_profile_compressed.jpg PhD

Jeremy Goldhaber-Fiebert, PhD, is a Professor of Health Policy, a Core Faculty Member at the Center for Health Policy and the Department of Health Policy, and a Faculty Affiliate of the Stanford Center on Longevity and Stanford Center for International Development. His research focuses on complex policy decisions surrounding the prevention and management of increasingly common, chronic diseases and the life course impact of exposure to their risk factors. In the context of both developing and developed countries including the US, India, China, and South Africa, he has examined chronic conditions including type 2 diabetes and cardiovascular diseases, human papillomavirus and cervical cancer, tuberculosis, and hepatitis C and on risk factors including smoking, physical activity, obesity, malnutrition, and other diseases themselves. He combines simulation modeling methods and cost-effectiveness analyses with econometric approaches and behavioral economic studies to address these issues. Dr. Goldhaber-Fiebert graduated magna cum laude from Harvard College in 1997, with an A.B. in the History and Literature of America. After working as a software engineer and consultant, he conducted a year-long public health research program in Costa Rica with his wife in 2001. Winner of the Lee B. Lusted Prize for Outstanding Student Research from the Society for Medical Decision Making in 2006 and in 2008, he completed his PhD in Health Policy concentrating in Decision Science at Harvard University in 2008. He was elected as a Trustee of the Society for Medical Decision Making in 2011.

Past and current research topics:

  1. Type 2 diabetes and cardiovascular risk factors: Randomized and observational studies in Costa Rica examining the impact of community-based lifestyle interventions and the relationship of gender, risk factors, and care utilization.
  2. Cervical cancer: Model-based cost-effectiveness analyses and costing methods studies that examine policy issues relating to cervical cancer screening and human papillomavirus vaccination in countries including the United States, Brazil, India, Kenya, Peru, South Africa, Tanzania, and Thailand.
  3. Measles, haemophilus influenzae type b, and other childhood infectious diseases: Longitudinal regression analyses of country-level data from middle and upper income countries that examine the link between vaccination, sustained reductions in mortality, and evidence of herd immunity.
  4. Patient adherence: Studies in both developing and developed countries of the costs and effectiveness of measures to increase successful adherence. Adherence to cervical cancer screening as well as to disease management programs targeting depression and obesity is examined from both a decision-analytic and a behavioral economics perspective.
  5. Simulation modeling methods: Research examining model calibration and validation, the appropriate representation of uncertainty in projected outcomes, the use of models to examine plausible counterfactuals at the biological and epidemiological level, and the reflection of population and spatial heterogeneity.
CV

Encina Commons Room 180,
615 Crothers Way,
Stanford, CA 94305-6006

(650) 736-0403 (650) 723-1919
0
LCY: Tan Lan Lee Professor
Professor, Health Policy
Professor Pediatrics (General Pediatrics)
jason_wang_profile_2019.jpg MD, PhD

C. Jason Wang, M.D., Ph.D. is a Professor of Pediatrics and Health Policy and director of the Center for Policy, Outcomes, and Prevention at Stanford University.  He received his B.S. from MIT, M.D. from Harvard, and Ph.D. in policy analysis from RAND.  After completing his pediatric residency training at UCSF, he worked in Greater China with McKinsey and Company, during which time he performed multiple studies in the Asian healthcare market. In 2000, he was recruited to serve as the project manager for the Taskforce on Reforming Taiwan's National Health Insurance System. His fellowship training in health services research included the Robert Wood Johnson Clinical Scholars Program and the National Research Service Award Fellowship at UCLA. Prior to coming to Stanford in 2011, he was an Assistant Professor of Pediatrics and Public Health (2006-2010) and Associate Professor (2010-2011) at Boston University and Boston Medical Center. 

Among his accomplishments, he was selected as the student speaker for Harvard Medical School Commencement (1996).  He received the Overseas Chinese Outstanding Achievement Medal (1996), the Robert Wood Johnson Physician Faculty Scholars Career Development Award (2007), the CIMIT Young Clinician Research Award for Transformative Innovation in Healthcare Research (2010), and the NIH Director’s New Innovator Award (2011). He was recently named a “Viewpoints” editor and a regular contributor for the Journal of the American Medical Association (JAMA).  He served as an external reviewer for the 2011 IOM Report “Child and Adolescent Health and Health Care Quality: Measuring What Matters” and as a reviewer for AHRQ study sections.

Dr. Wang has written two bestselling Chinese books published in Taiwan and co-authored an English book “Analysis of Healthcare Interventions that Change Patient Trajectories”.  His essay, "Time is Ripe for Increased U.S.-China Cooperation in Health," was selected as the first-place American essay in the 2003 A. Doak Barnett Memorial Essay Contest sponsored by the National Committee on United States-China Relations.

Currently he is the principal investigator on a number of quality improvement and quality assessment projects funded by the Robert Wood Johnson Foundation, the National Institutes of Health (USA), Health Resources and Services Administration (HRSA), and the Andrew T. Huang Medical Education Promotion Fund (Taiwan).

Dr. Wang’s research interests include: 1) developing tools for assessing and improving the quality of healthcare; 2) facilitating the use of innovative consumer technology in improving quality of care and health outcomes; 3) studying competency-based medical education curriculum, and 4) improving health systems performance.

Director, Center for Policy, Outcomes & Prevention (CPOP)
Co-Director, PCHA-UHA Research & Learning Collaborative
Co-Chair, Mobile Health & Other Technologies, Stanford Center for Population Health Sciences
Co-Director, Academic General Pediatrics Fellowship
1
PhD Student, Health Policy
vincent_jappah_profile_2021.jpg MD, MPH

Jlateh Vincent Jappah is a PhD student in Health Policy (Health Economics) at Stanford School of Medicine and Stanford Freeman Spogli Institute for International Studies. His research interests intersect between methods that enhance access to the social determinants of health and the provision of appropriate and timely healthcare services, with the aim of reducing avoidable morbidity and mortality and improving overall health and well-being, especially for underserved and vulnerable populations. 

Jappah contends that although health insurance and access to healthcare services are important elements in the health production function, other structural and socio-economic factors collude to either foster or erode health. As such, he has a keen interest in public policy, economics, medicine, global public health, maternal and child health, and a curiosity to understand those socio-political and institutional forces that shape health and well-being. He is also interested in machine learning and artificial intelligence in healthcare.

In addition to the United States, Jappah has lived and worked in several countries in Africa, Asia, and Europe. He is bilingual (English and Russian).

Date Label
Authors
News Type
News
Date
Paragraphs

Masks have been politicized by some and derided by others throughout the pandemic. At the beginning of the pandemic, U.S. public health officials advised the public not to wear masks, in order to save then-scarce personal protective equipment for frontline workers. They quickly reversed their position and recommended masks — a seeming reversal that is still a sticking point for many citizens and politicians.

Read the rest at Salon

Hero Image
surgical mask on white background MoMo Productions/Getty Images
All News button
1
Subtitle

"We now have evidence from a randomized, controlled trial that mask promotion increases the use of face coverings and prevents the spread of COVID-19," said Stephen Luby, MD, professor of medicine at Stanford and co-author of the study, in a press release.

News Type
News
Date
Paragraphs

A new study has confirmed that surgical masks reduce the spread of COVID-19 and confirms the impact of mask-wearing on communities. For more, KCBS Radio's Margie Shafer spoke with Dr. Stephen Luby, Medical Epidemiologist and Professor of Medicine at Stanford University, senior author of the study. 

Listen on KCBS radio

Hero Image
covid 19 radoslav zilinsky Radoslav Zilinsky - Getty Images
All News button
1
Subtitle

A new study has confirmed that surgical masks reduce the spread of COVID-19 and confirms the impact of mask-wearing on communities. For more, KCBS Radio's Margie Shafer spoke with Dr. Stephen Luby, Medical Epidemiologist and Professor of Medicine at Stanford University, senior author of the study.

Subscribe to Global Health