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Striking Costs of Infertility Point to Importance of IVF Access and Affordability

Stanford researchers find persistent infertility takes a large toll on mental health and raises the likelihood of divorce.

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Applying Machine-Learning Approaches to Antibiotic Resistance

Stanford Medicine researchers Jonathan Chen and Mary K. Goldstein are using data science and machine learning to help doctors make better informed decisions and health-care facilities to adopt a precision stewardship approach to combatting antimicrobial resistance.

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SHP Faculty Contribute to New NASEM Report on Health-Care Inequities

The National Academies of Sciences, Engineering, and Medicine updates its 20-year-old report on inequities in the U.S. health-care system, with expert advise from Stanford Health Policy researchers.

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Sherri Rose

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Policy Brief: The Complexities of Race Adjustment in Health Algorithms

News September 26, 2024

Policy Brief: The Complexities of Race Adjustment in Health Algorithms

News September 26, 2024

As policymakers, health-care practitioners, and technologists pursue the application of AI and machine learning (ML) algorithms in health care, this policy brief underscores the need for health equity research and highlights the limitations of employing technical “fixes” to address deep-seated health inequities.

Sherri Rose Honored with ASA Outstanding Statistical Application Award

News August 12, 2024

Sherri Rose Honored with ASA Outstanding Statistical Application Award

News August 12, 2024

The annual Outstanding Statistical Application Award recognizes the authors of a paper that demonstrates an outstanding application of statistics in any substantive field.

Sherri Rose Wins ASHEcon Manning Award for Best Research in Health Econometrics

News May 24, 2024

Sherri Rose Wins ASHEcon Manning Award for Best Research in Health Econometrics

News May 24, 2024

The Willard G. Manning Memorial Award is given for the best published health economics research in econometric methodology or application.

TRIPOD+AI: Updated Reporting Guidelines for Clinical Prediction Models

News April 22, 2024

TRIPOD+AI: Updated Reporting Guidelines for Clinical Prediction Models

News April 22, 2024

Sherri Rose joins global network of health experts to improve the transparency and accuracy of prediction algorithms.

Female Healthcare Worker Examines Baby with Stethoscope

The Safe Inclusion of Pediatric Data in AI-Driven Medical Research

Q&As September 6, 2023

The Safe Inclusion of Pediatric Data in AI-Driven Medical Research

Q&As September 6, 2023

AI algorithms often are trained on adult data, which can skew results when evaluating children. A new perspective piece by SHP's Sherri Rose and several Stanford Medicine colleagues lays out an approach for pediatric populations.

Sherri Rose & Stanford President Marc Tessier-Lavigne

Sherri Rose Honored with President's Award for Commitment to Equity & Diversity

News June 22, 2023

Sherri Rose Honored with President's Award for Commitment to Equity & Diversity

News June 22, 2023

Rose was recognized for treating diversity and inclusion as investments in Stanford’s future and conducting research that exposes how medical and health policy decision have the power to exacerbate disadvantage and equity.

Health Policy Forum: Artificial Intelligence and Health Care

News April 20, 2023

Health Policy Forum: Artificial Intelligence and Health Care

News April 20, 2023

Sherri Rose, professor of health policy, joins Venrock's Bob Kocher in conversation regarding AI and healthcare.

Stanford Program Empowers Next Generation of Public Health Experts

News October 18, 2022

Stanford Program Empowers Next Generation of Public Health Experts

News October 18, 2022

The School of Medicine's AHEaD program provides training and experience in population health research for college students who are from underrepresented and historically excluded groups in the health sciences. This summer's co-director Sherri Rose, an associate professor of health policy, says the program is intended to empower students from underrepresented populations.

Sherri Rose Wins Prestigious NIH Director's Pioneer Award

News October 4, 2022

Sherri Rose Wins Prestigious NIH Director's Pioneer Award

News October 4, 2022

The five year, $5.5 million award will be used by Rose — an associate professor of health policy — to develop a framework to investigate the social impacts of algorithms on health care.

An illustration of balancing health-care costs

Improving the Performance of Health Plan Payment Systems

News August 2, 2021

Improving the Performance of Health Plan Payment Systems

News August 2, 2021

Sherri Rose illustrates ways to improve payments to health-care plans, making them more efficiently and fairly distributed.

Sherri Rose Wins Prestigious Spiegelman Award for Contributions to Public Health Statistics

News June 24, 2021

Sherri Rose Wins Prestigious Spiegelman Award for Contributions to Public Health Statistics

News June 24, 2021

It's the second recognition this year for Sherri Rose, whose work is making significant contributions to health statistics.

Sherri Rose, associate professor of medicine, Stanford Medicine

Sherri Rose Wins Prestigious Gertrude M. Cox Award

News April 7, 2021

Sherri Rose Wins Prestigious Gertrude M. Cox Award

News April 7, 2021

The award recognizes a statistician in early to mid-career who has made significant contributions to one or more of the areas of applied statistics in which Gertrude Cox worked: survey methodology, experimental design, biostatistics, and statistical computing.

Stanford Health Policy’s newest faculty member: Sherri Rose

Q&As June 26, 2020

Stanford Health Policy’s newest faculty member: Sherri Rose

Q&As June 26, 2020

Sherri Rose comes to us from Harvard Medical School, where she co-founded the Health Policy Data Science lab.

Members of the media should contact Stanford Health Policy Communications Manager Beth Duff-Brown
Voicemail: 650-736-6064

Health Policy News

Featured News

Striking Costs of Infertility Point to Importance of IVF Access and Affordability

Applying Machine-Learning Approaches to Antibiotic Resistance

SHP Faculty Contribute to New NASEM Report on Health-Care Inequities

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