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The Director for Program Evaluation of the Clinical and Translational Science Institute implements and manages multiple individual evaluation plans associated with programs that advance Translational Science through: (1) biomedical research training to faculty,scholars/fellows and staff and (2) research services, resources and tools to researchers that span the research continuum for basic
Assefa, a recent graduate of UVA, participated in the UVA-Historically Black Colleges and Universities Summer Research Bridge to Data Science program (Bridge) as a research fellow. This program is co-sponsored by integrated Translational Health Research Institute of Virginia (iTHRIV), the UVA School of Data Science (UVA SDS), Oracle, and Deloitte. According to the UVA SDS, the UVA-HBCU Summer
NCATS Rapid Response Un-Meeting
Moving scientific discoveries into the “real world” effectively, efficiently, and safely are core principles of translational science. With the advent of big data analytics and data derived from multiple sources, it has become increasingly clear that utilizing data from real-world contexts opens another key layer of the translational science process.
McCulloch wants his young patients to live, and many of them won’t without a new heart. He knows that almost 20% of all pediatric patients on the wait list for hearts in the United States die before they receive one. But the heart must be healthy and a good match for the patient or a transplant could make matters worse. How does he decide?
Position Summary: The Institute for Clinical and Translational Science is a special project department housed under the Office of Research on the UCI Campus. The UCI CTSA is one of 62 NIH-NCATS funded institutes in the US. The ICTS Mission is to improve health and healthcare by catalyzing translational research across the spectrum and by advancing the science of translation. The cohesive theme of
This module gives an overview of different gerontologized measures and resources.
A module on the research implications of aging, multimorbidity, polypharmacy, and inter-current health events.
The Foundations of Biomedical Data Science at the University of Virginia hosted its fifth annual Biomedical Data Science Innovation Lab (BDSIL): Challenges in Brain Analytics and Data Integration on June 21-25, 2021. The BDSIL is an intensive program partially sponsored by iTHRIV and NIH Grant #R25GM139080 that has virtual and in-person components designed to foster the development of
The Summer Intensive Workshop will be held from July 12 through July 16, 2021 online from 9 AM to 5 PM each day. This is a one-week (40-hour) introductory-level workshop with a focus on biostatistics and design of clinical trials. Registration fee: $1,000 ($600 for Residency & Fellowship Programs) This workshop may be eligible for tuition assistance benefits. Contact your benefits office for
Wake Forest demonstrates how a health care system can more quickly turn research outcomes into patient care with a new blood pressure measurement protocol that may help prevent strokes and cardiovascular events.
This talk was presented as part of The Odyssey of OHDSI: Using Health Care Data for Research. You will learn how data are represented by vocabularies in the OMOP CDM and how to use the ATLAS toolset to define cohorts. Presented by Christian Reich, MD, PhD, Real World Analytics Solutions, IQVIA
Interested in learning about novel data analysis methods and tools for addiction research? To better understand the science of addiction disorders, the research community needs continuous development of novel methods across the translational research spectrum, from personalized medicine to epidemiology.
Learn what it takes to make your surveys as efficient as possible. Customize survey settings, manage survey participants, and stay up-to-date on survey progress and results
These Precision Snippets are a seven-part step-by-step video tutorial series on how to access health data in NHANES, FL Health Charts, Agency for Toxic Substances and Disease Registry (ATSDR), National Environmental Public Health Tracking Network (NEPHT), and Florida Water Management Inventory (FLWMI). These videos were commissioned by UF CTSI, based on the UF CTSI “Accessing Environmental Health
Types of variables, summary statistics, measures of center, basic graphs (boxplots, histograms, etc)
The Harvard Chan Bioinformatics Core is excited to expand our bioinformatics training program as part of a new collaboration with the Dana-Farber / Harvard Cancer Center (DF/HCC). We are looking for a bioinformatician to join our team in our efforts to provide education and analytical support to the Harvard community. The ideal candidate is enthusiastic about teaching (as demonstrated by their teaching experience), enjoys working in a collaborative environment, and has a background in high-throughput data analysis, specifically for next-generation sequencing (NGS) data. This role provides a unique and rewarding opportunity to train and support world-class researchers making a profound impact on human health.
For Rapid Learning in #COVID-19 Treatment Comparisons In this one-hour webinar, Frank Harrell Jr, PhD, Professor of Biostatistics, Vanderbilt University and ACTS BERD SIG member, will explain the Bayesian fully sequential design and analysis plan for the 7-level COVID ordinal outcome scale for rapid learning and decision making.
The csv,conf brings diverse groups together to discuss data topics, and features stories about data sharing and data analysis from science, journalism, government, and open source. Join the free csv,conf,v5 annual community conference online. Hear interesting ideas for imagining new humanistic and #computational data-related courses from Emily Jacobi and Sisi Wei.
Essentials of Biostatistics is an online resource of videos that cover fundamental concepts of medical biostatistics. Over 20 different topics are covered in short videos that can be watched and re-watched over the time of your subscription. This resource serves as a good primer to more advanced topics in biostatistics. Sample of topics covered: - Common Probability Distributions - Estimation and