New Research Frontiers in Health Sciences

Please join the Department of Health Sciences Office of Research & Scholarship for their November research forum featuring Vanessa Jewell, PhD, and Carolyn Novaleski, PhD.

The hybrid forum will take place in person (MacNider 321, LUNCH provided) and via Zoom. Please register to attend.

Presenters:

Vanessa Jewell, PhD, OTR/L, FAOTA
Department of Health Sciences
Division of Occupational Science and Occupational Therapy
UNC School of Medicine
A Patient-Centered Rural Type 1 Diabetes Research Agenda

Carolyn Novaleski, PhD, CCC-SLP
Department of Health Sciences
Speech & Hearing Sciences
UNC School of Medicine
Making the Pivot Toward Patient-Oriented Research in Chronic Cough

Questions? Contact the Department of Health Sciences Office of Research & Scholarship at This email address is being protected from spambots. You need JavaScript enabled to view it..

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Unveiling the CDWH GeoService: Empowering Geospatial Research at UNC

Join us for an insightful hour-long webinar as the NC TraCS Informatics & Data Science division introduces the Carolina Data Warehouse for Health (CDWH) GeoService, designed exclusively for the research community. Delve into the world of geospatial identification, including geocoding and data linkage activities to unlock invaluable geographical-level insights. Discover a wealth of data, including American Community Survey statistics, Area Deprivation Indexes, Social Vulnerability Indexes, and Rural-Urban Commuting Area Codes.

Our webinar's mission is to not only inform you about the services we offer but also to foster engagement. We eagerly seek your feedback on potential data linkages, use cases, and exciting research opportunities. Together, let's propel geospatial research to new heights!

TraCS GeoService Workgroup:
Meredith Abrams
Samyuktha Nandhakumar
Adam Lee
Robbie Bowers
Lennon Scott
Kevin Ndura
Paul Kovach
Ashley Victor

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Nonparametric Curve Estimation: Data Exploration and Inference

The NC TraCS Biostatistics Seminar Series helps clinical and translational researchers collaborate more effectively with consulting biostatisticians by building deeper understanding of key statistical concepts and methods. Researchers then are better able to (1) evaluate relevance of the concept or method for research aim(s) definition and choice of study design; and (2) properly interpret the results of data analysis.

In this seminar, J.S. Marron, PhD, will explore smoothing methods for curve estimation that can discover useful insights in contexts where there is not an obvious statistical model, and often can also indicate poorly fitting models. Methods for understanding which discovered features represent important underlying structure will also be discussed.

Marron is the Amos Hawley Distinguished Professor in UNC's Department of Statistics and Operations Research as well as a professor in the Department of Biostatistics at the UNC Gillings School of Global Public Health. He is widely recognized as a world research leader in the statistical disciplines of high dimensional, functional and object oriented data analysis, as well as data visualization. He has made broad major contributions ranging from the invention of innovative new statistical methods, through software development and on to statistical and mathematical theory. Marron's research continues with a number of ongoing deep, interdisciplinary research collaborations with colleagues in Computer Science, Genetics, Medicine, Mathematics and Biology. A special strength is his strong record of mentoring graduate students, postdocs and junior faculty, in both statistics and also related disciplinary fields.

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Big Data, Big Deal? Exploring the Potential & Peril of Modern Data Sources for Social Science Research

This 5-hour course will be offered online only. Attendance is required – this course will not be recorded.

In this workshop we will offer an overview of big data types and sources and discuss their potential for survey and social science research as well as pitfalls. Specifically we will discuss social media data, digital trace data, administrative data and sensor data through a total data quality lens. We will address quality issues with each type of data, possible error frameworks to use in working with these specific data types and discuss ways to quantity data quality through a collection of metrics. We end the workshop with a discussion of how to maximize data quality for these data sources. The workshop will include several examples of work taken from the recent survey research, social science and information systems science literature and we will also include several interactive activities aimed at reinforcing key concepts around recognizing and possibly mitigating quality issues that may arise when working with these data types for social science type research.

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Guidelines for Design and Analysis of Stepped-Wedge Trials

This NIH Collaboratory Rethinking Clinical Trials Biostatistics Series Grand Rounds features:

Speaker: James P. Hughes, PhD
Professor Emeritus of Biostatistics, University of Washington

Moderator: Patrick J. Heagerty, PhD
Professor of Biostatistics, University of Washington

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