Hdsr.mitpress.mit.edu

Better Metrics to Guide Public Health Policy: Lessons Learned From

WebMedia Summary. As communities adjust policies to mitigate COVID-19, the focus is on objective ‘metrics’ to guide decisions. But metrics are only as good as their inputs, and three years into the pandemic, problems abound with the data underlying them.

Actived: 2 days ago

URL: https://hdsr.mitpress.mit.edu/pub/b2tswdg6

Legal Compliance and Good Data Stewardship in Data Sharing Plans

WebThe revised DMS Policy requires a data management and sharing plan for all NIH-funded or conducted research starting January 25, 2023. NIH-supported or conducted research that involves sharing health-related data triggers potential legal barriers due to myriad federal, state, and international legal requirements that are quickly evolving.

Category:  Health Go Health

Harvard Data Science Review

WebAs an open access platform of the Harvard Data Science Initiative, Harvard Data Science Review (HDSR) features foundational thinking, research milestones, educational innovations, and major applications, with a primary emphasis on reproducibility, replicability, and readability.We aim to publish content that helps define and shape data science as a …

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How Confident Are We About Observational Findings in Health …

Web1. Introduction. Observational health care data, such as administrative claims and electronic health records, offer opportunities to generate real-world evidence about the effect of treatments that can meaningfully improve the lives of patients.

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Issue 4.2, Spring 2022

Web1. Introduction. Electronic health records (EHRs) are an appealing source of health information for researchers, including data scientists. EHRs capture data recorded during a health encounter, including patient demographics, laboratory orders and results, medical imaging reports, physiologic measurements, medication records, caregiver and …

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Elizabeth A. Stuart · Harvard Data Science Review

WebWebsite. Elizabeth A. Stuart, PhD is the Frank Hurley and Catharine Dorrier Chair of the Department of Biostatistics at the Johns Hopkins Bloomberg School of Public Health as well as Bloomberg Professor of American Health, with joint appointments in the Departments of Mental Health and Health Policy and Management.She received her …

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On the Convergence of Epidemiology, Biostatistics, and Data Science

WebAbstract. Epidemiology, biostatistics, and data science are broad disciplines that incorporate a variety of substantive areas. Common among them is a focus on quantitative approaches for solving intricate problems. When the substantive area is health and health care, the overlap is further cemented. Researchers in these disciplines are …

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A Conversation About COVID-19 With Biostatisticians and …

WebAbstract. The COVID-19 pandemic is an almost unprecedented challenge. Moderated by David Banks, Director of the Statistical and Applied Mathematical Sciences Institute (SAMSI), five leading biostatisticians and epidemiologists discuss the probable scope and duration of the pandemic, the kinds of medical responses that we need, and …

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Issue 5.1, Winter 2023 · Harvard Data Science Review

WebCultures and Value of Data Science, Data Science Education, Cybersecurity, and More! by Francesca Dominici. Issue 5.1 / Winter 2023.

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Benchmark Study Findings in Health Care: A

WebHow Con dent Are We About Observational Findings in Health Care: A Benchmark Study. Martijn J. Schuemie1,2,3,4 M. Soledad Cepeda5 Marc A. Suchard2,3,4,6 Jianxiao Yang2 Yuxi Tian 2 Alejandro Schuler7 Patrick B. Ryan8,9 David Madigan10,9 George Hripcsak 8,11,9. 1Janssen Research and Development, Titusville, New Jersey, United States of …

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Special Issue 3: Personalized (N-of-1) Trials

WebA Series of Virtual Interventions for Chronic Lower Back Pain: A Feasibility Pilot Study for a Series of Personalized (N-of-1) Trials. by Mark Butler, Stefani D'Angelo, Melissa Kaplan, Zarrin Tashnim, Danielle Miller, Heejoon Ahn, Louise Falzon, Andrew J. Dominello, and 4 more. Published: Sep 08, 2022.

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The Family of Single-Case Experimental Designs

WebAbstract. Single-case experimental designs (SCEDs) represent a family of research designs that use experimental methods to study the effects of treatments on outcomes. The fundamental unit of analysis is the single case—which can be an individual, clinic, or community—ideally with replications of effects within and/or between cases.

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Special Issue 1: COVID-19: Unprecedented Challenges and Chances

Web1. The Pandemic and Politics. As of November 14, 2020, the novel coronavirus has infected at least 53.4 million people worldwide, killed more than one million people, and disrupted nearly every aspect of social, political, and cultural life.

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Precision Medicine and Its Imprecise History · Issue 2.1, Winter 2020

WebColumn Editors’ Note: For this Mining the Past article, column co-editor Christopher J. Phillips sketches a history of precision medicine.Though sometimes portrayed as a field with roots primarily in genetics, he describes the decisive historical role played by statisticians and data scientists, particularly a group of midcentury biostatisticians located …

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Podcast · Harvard Data Science Review

WebThe Harvard Data Science Review Podcast. The Harvard Data Science Review Podcast aims to show news, policy, and business through the lens of data science. Each episode is a ‘case study’ into how data is used to lead, mislead, manipulate, and inform the important decisions facing us today. Podbean | Apple | Spotify | Amazon …

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Special Issue 1: COVID-19: Unprecedented Challenges and Chances

WebPredictions, Role of Interventions, and Effects of a Historic National Lockdown in India's Response to the COVID-19 Pandemic: Data Science Call to Arms. by Debashree Ray, Maxwell Salvatore, Rupam Bhattacharyya, Lili Wang, Jiacong Du, Shariq Mohammed, Soumik Purkayastha, Aritra Halder, and 10 more. Published: Jun 09, 2020.

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Issue 4.2, Spring 2022 · Harvard Data Science Review

WebOnline Education in Times of COVID: Adapting and Deploying a Data Science Program in Mexico. by Andrea Monserrat Arredondo-Rodriguez, Gabriel Missael Barco, Claudia I. García-Gil, Alicia del Carmen Hernández-Guzman, Rogelio Antonio Hernández-López, Benjamin Manuel Sánchez-Lengeling, and Carla Márquez-Luna.

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Understanding the Quality of the 2020 Census Is Essential

WebHarvard Data Science Review • Issue 3.1, Winter 2021 Understanding the Quality of the 2020 Census Is Essential 5. at the Census Bureau have raised significant concerns among stakeholders regarding the quality of the 2020 Census. These concerns include whether the data are fit for use for apportionment, redistricting, and other uses …

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