The goal of this two-day series is to provide researchers with the knowledge, tools, and resources to aid in the development of a scientific protocol for a clinical research study. Both sessions will begin at 9 a.m. and a question-and-answer session will follow each presentation.
On the second day of the series, we will take a "deeper dive" into clinical study design, statistics, and their impact on clinicaltrials.gov reporting:
- Clinical Protocol Study Design - aims, objectives, endpoints, and outcomes
- Statistical analysis, sample size considerations, data management
- Clinicaltrials.gov - registration and outcome measure reporting
- Protocol problem spots and ways to improve protocols
Target Audience: academic researchers, scientists, study coordinators, and students engaged in clinical research and/or clinical trials.
ACRP Contact Hours: The ACRP no longer approves 3rd party requests for CE credit. However, attendees are still welcome to self-report to ACRP for CE credit.
Statistical modeling for prediction requires a different frame of mind than more typical statistical modeling. In this seminar Jeff Laux, PhD, introduces predictive modeling as distinct from more common analyses and describes cross-validation, the central technique of predictive modeling.
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.
This NIH Collaboratory Rethinking Clinical Trials Grand Rounds features:
Thomas W. Carton, PhD, MS
Chief Data and Strategy Officer
Louisiana Public Health Institute
Anitha S. John, MD, PhD
Medical Director
Washington Adult Congenital Heart Program
Professor of Pediatrics
Children’s National Hospital
George Washington University
This NIH Collaboratory Rethinking Clinical Trials Grand Rounds features:
Sumit Agarwal, MD, MPH, PhD
Assistant Professor
Division of General Medicine
University of Michigan
Join the Children's Research Institute for a hybrid seminar with Taylor Poston, PhD, MPH, a Research Assistant Professor in the Darville Lab and a specialist in the field of infectious diseases at UNC School of Medicine. Participate in the seminar either in person at 3116 Mary Ellen Jones Building (with lunch provided) or via Zoom.
Zoom information - Meeting ID: 985 6644 6544 | Password: 097476
This one-day course will be offered via Zoom only. Course schedule is 9:00am – 3:00pm, with a 1-hour lunch and (2) 10-minute breaks (1 in morning and 1 in afternoon). Attendance is required as it will not be recorded.
This course features Dynamic Narrative Inquiry – theory and principles for narrative research design and analysis drawing on the richness of expressive language. With this approach to qualitative inquiry, researchers can build on communication in daily life where diverse practices for sharing experience, making sense of experience, and imagining social change occur in personal narratives, sociocultural communications, and institutional policies.
This course involves a sequence of presentations and practical workshops with narrative analysis strategies applicable to small or large studies that sample verbal and/or visual discourse. We begin with an introduction to dynamic narrative inquiry, followed by modules with three analysis strategies that yield findings to a wide range of relevant social science research questions. Using examples from prior published studies, rationales and methodology are presented, including character mapping (to identify meaning in narrative actors, actions, and relationships); plot analysis (to identify how narrative structures express logics and intentions); and values analysis (to identify speaker/author/ purposes). The final hour of the day is devoted to discussing course participants’ insights from the workshops and implications for future research, practice, and policy.
Different than Research For Me, ResearchMatch is a national platform to recruit for your study. Join a live training to learn how to add a study to ResearchMatch, search for volunteers, send a contact message, and manage your enrollment continuum. The ResearchMatch team have extended their training an additional 30 minutes for “office hours.” Anyone is welcome to welcome to join this national call to ask questions about their specific study on ResearchMatch. National office hours are held on the second Thursday of every month at 2 p.m. ET right after the monthly Researcher Training.
Learn more about ResearchMatch overall at researchmatch.org. For local information and approval process of ResearchMatch at UNC, please visit our Resource Center (requires login to SharePoint) or submit a ticket to the NC TraCS Recruitment & Retention Program.
Join the Precision Public Health Network for a research symposium, Advancing Equity through Precision Health, in Charleston, SC at the Shawn Jenkins Children's Hospital.
The goal of the PPH Network is to connect future public health clinicians, researchers, and policymakers exploring precision approaches to improving population health. The PPH Network connects aspiring precision public health leaders through sponsoring working groups for research collaboration, hosting lectures with experts in the field, and organizing events.
This NIH Collaboratory Rethinking Clinical Trials Grand Rounds features:
M. Kit Delgado, MD, MS
Associate Professor of Emergency Medicine and Epidemiology
Faculty Director, Penn Medicine Nudge Unit
This 4-hour course will be split over 2 days (11/18/24 and 11/20/24) and offered via Zoom. Attendance is required as the course will not be recorded.
Research is relying on increasingly complex code. However, most academics have not received formal training in software development. This course will introduce participants to some of the best practices of professional software development. Participants will learn to structure their Python code into reusable functions and store those functions as separate scripts and/or packages. Participants will learn to write automated tests for their functions, to help confirm that results are as expected and to ensure that future changes to code do not cause unexpected changes to results.
This 4-hour course will be held online only. Attendance is required as it will not be recorded.
Cognitive interviewing in survey research is a tool that allows researchers to improve survey questions and questionnaires by better understanding how respondents understand and respond to the questions they are being asked. Data gathered through cognitive interviews help researchers identify and remedy issues with their questionnaires. This short course provides participants with fundamentals on where cognitive interviews fit in the survey process and on how to design, conduct, and analyze cognitive interviews. Participants will have the opportunity to practice specific cognitive interviewing techniques, including think-alouds, probing, and observation. Participants will also learn about revising survey questions based on interpreting cognitive interview results and about the research on which cognitive interview practices are based.
With larger teams and ever more data, practicing reproducible research is becoming increasingly complex. Those analyzing the data are often different from those who collect and generate the data, and different from those interpreting the data. This can lead to gaps in the team’s knowledge around key data processing or analysis decisions. Transparent, robust documentation is also a key step to uncovering errors. This talk will describe implications of these challenges as well as some generalizable, practical solutions developed within two CTSA Biostatistics, Epidemiology, and Research Design (BERD) units.
Speakers:
Leah J. Welty, PhD
Professor and Director, Biostatistics Collaboration Center
Northwestern University Feinberg School of Medicine
Manisha Desai, PhD
Professor of Medicine and of Biomedical Data Science
Stanford University
UNC-Chapel Hill recently announced initiatives for enhancing engagement with AI and cloud technologies across our campus community. Want to get a better handle on what some of these terms mean? In this seminar, JP Powers, PhD, a research data scientist in the TraCS Data Science Lab, will give a beginner-friendly introduction to concepts like AI, generative AI (genAI), cloud computing, and big data.
Seminars in the NC TraCS Data Science Seminar Series will cover a range of topics related to health care data science, clinical data, data engineering, and working in these areas at UNC-Chapel Hill. These hybrid seminars will be held on the third Tuesday of each month from 12:30-1:30 p.m. in the NC TraCS suite on the 2nd floor of Brinkhous-Bullitt or via Zoom.
This 4-hour course will be split over 2 days (11/18/24 and 11/20/24) and offered via Zoom. Attendance is required as the course will not be recorded.
Research is relying on increasingly complex code. However, most academics have not received formal training in software development. This course will introduce participants to some of the best practices of professional software development. Participants will learn to structure their Python code into reusable functions and store those functions as separate scripts and/or packages. Participants will learn to write automated tests for their functions, to help confirm that results are as expected and to ensure that future changes to code do not cause unexpected changes to results.