The Cecil G. Sheps Center for Health Services Research is hosting Data Science Days, a two-day event featuring presentations covering the capabilities of the Sheps Data Analytics and Research Team (DART) to contribute to research projects, general knowledge about the data sources available at Sheps to assist in answer research questions, and techniques used by DART to collaborate on study design, methods, and analysis. Intended for individuals in the public health, healthcare, and social science research community seeking to grow their professional knowledge, skillset, and network.

Learn more at Data Science Days.

Register

This course will take place over three mornings (9/30/24, 10/2/24, and 10/4/24), 2.5 hours per morning, and will be offered via Zoom. Attendance is required as the course will not be recorded.

This course introduces participants to constructivist grounded theory (CGT). Grounded theory (GT) methods consist of flexible guidelines to fit particular research problems, not to apply mechanically. With these guidelines, you expedite and systematize data collection and analysis. GT methods can assist researchers in making their work more analytic, precise, and compelling.

In this course, following an exploration of the history and development of GT, we examine GT basic guidelines and major strategies, including initial line-by-line and focused coding, the use of gerunds, memoing, diagramming, theoretical sampling, and categorising. Throughout the sessions, there is an emphasis on CGT’s epistemological foundation and resultant adaptations to the research process, including regarding the literature review, researcher positionality/ies and reflexivity, and participant involvement.

The course will include a number of hands-on exercises to exemplify, and give participants an opportunity to practice, the strategies being discussed. For the coding exercise, you may bring and use some of your own qualitative data, or if you do not have data yet, some will be supplied. Clear guidelines and support are provided to course participants with regard to all aspects of CGT.

The sessions will utilise CGT readings and resources from Kathy Charmaz, Robert Thornberg, Adele Clarke, and course instructor, and will draw on the extensive scholarship of Barney Glaser and Anselm Strauss. A pack of materials will be shared with participants in advance of the course. This course will be of interest to those doing full CGT studies but also to those who may be interested in learning about and potentially using some of the powerful GT strategies (such as coding) in studies with a different overall methodological approach.

Register

The Cecil G. Sheps Center for Health Services Research is hosting Data Science Days, a two-day event featuring presentations covering the capabilities of the Sheps Data Analytics and Research Team (DART) to contribute to research projects, general knowledge about the data sources available at Sheps to assist in answer research questions, and techniques used by DART to collaborate on study design, methods, and analysis. Intended for individuals in the public health, healthcare, and social science research community seeking to grow their professional knowledge, skillset, and network.

Learn more at Data Science Days.

Register

Strengthening Engagement in Research: Building and Maintaining Relationships with Patient & Community Partners

Meaningful partnerships with patients, community members, or other collaborators involved in your research are invaluable. Projects are set up for success when care is intentionally given to developing and strengthening partnerships over time.

This online training will describe best practices for building mutually beneficial partnerships. The session will also cover common challenges that researchers and patient, community, and other partners experience when working together, along with suggested solutions.

Participation in our Engagement in Research 101 or Engagement in Research Nuts and Bolts trainings are not required to attend this session; however, some knowledge of engagement, whether from prior training(s) or personal experience, may foster deeper understanding of the material in this session.

Register

Engaging Patient, Community, and Other Partners in Your Research is a multi-part online training series. You may register for the entire series OR any single training session.

Part 1 will focus on the basics of research engagement, providing an overview of patient and community engagement and its benefits, debunking common myths and misconceptions, and providing considerations and next steps for incorporating engagement approaches into your research.

Part 2 will cover specific engagement methods, including consultative community feedback sessions, advisory boards, and working with patient and community partners as members of a research team.

Part 3 will focus on the nuances of building and maintaining partnerships, outlining best practices for developing and strengthening mutually beneficial partnerships and discussing common partnership challenges and solutions.

Those who are in the process of developing, implementing, or revising a patient and/or community engagement plan for an active or upcoming project may be interested in attending our Engagement in Research Interactive Workshop, during which participants will have the opportunity to ask questions and seek feedback on their engagement plans in a small group setting.

This training series was developed collaboratively with patient, community, and researcher partners and is co-sponsored by the UNC Lineberger Comprehensive Cancer Center and NC TraCS Institute.

This online training will provide an introduction to qualitative data analysis, focusing on content/thematic analysis. The session will cover the basics of qualitative data analysis and steps in the analysis process, including: transcribing, memoing, codebook development and coding, exploring content areas or themes, and interpreting and communicating findings. Participants will have the opportunity to practice developing and applying codes.

Please note: We will not be demonstrating how to use qualitative data analysis software during this session.

Presenters:

MaryBeth Grewe, MPH
Program Manager, Qualitative Research Service
Research Specialist, Patient and Community Engagement in Research (PaCER) Program
NC TraCS Institute

Simone Frank, MPH
Senior Project Manager, Patient and Community Engagement in Research (PaCER) Program
Research Specialist, Qualitative Research Service
NC TraCS Institute

Register

This course will take place over three mornings (9/30/24, 10/2/24, and 10/4/24), 2.5 hours per morning, and will be offered via Zoom. Attendance is required as the course will not be recorded.

This course introduces participants to constructivist grounded theory (CGT). Grounded theory (GT) methods consist of flexible guidelines to fit particular research problems, not to apply mechanically. With these guidelines, you expedite and systematize data collection and analysis. GT methods can assist researchers in making their work more analytic, precise, and compelling.

In this course, following an exploration of the history and development of GT, we examine GT basic guidelines and major strategies, including initial line-by-line and focused coding, the use of gerunds, memoing, diagramming, theoretical sampling, and categorising. Throughout the sessions, there is an emphasis on CGT’s epistemological foundation and resultant adaptations to the research process, including regarding the literature review, researcher positionality/ies and reflexivity, and participant involvement.

The course will include a number of hands-on exercises to exemplify, and give participants an opportunity to practice, the strategies being discussed. For the coding exercise, you may bring and use some of your own qualitative data, or if you do not have data yet, some will be supplied. Clear guidelines and support are provided to course participants with regard to all aspects of CGT.

The sessions will utilise CGT readings and resources from Kathy Charmaz, Robert Thornberg, Adele Clarke, and course instructor, and will draw on the extensive scholarship of Barney Glaser and Anselm Strauss. A pack of materials will be shared with participants in advance of the course. This course will be of interest to those doing full CGT studies but also to those who may be interested in learning about and potentially using some of the powerful GT strategies (such as coding) in studies with a different overall methodological approach.

Register

This seminar provides a basic introduction to statistics for medical professionals – no background in statistics required. David Yanez, PhD, will discuss how statisticians think regarding science and discuss matters that inform the basis of statistical thinking. Learn about the role of statistics in scientific investigations and how you can incorporate statistical thinking to further your research.

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.

Register

Health Trends Across Communities – A Novel Health System-Public Health Data Partnership

This NIH Collaboratory Rethinking Clinical Trials Grand Rounds features:

Tyler Winkelman, MD, MSc
Division Director, General Internal Medicine
Hennepin Healthcare
Co-Director, Health, Homelessness, and Criminal Justice Lab
HHRI

David Johnson, MPH
Health Informatics and Epidemiology
Program Manager
Hennepin County

Learn More

Identifying Mechanisms of Pathophysiology in Necrotizing Enterocolitis: Working Toward Improved Prevention & Treatment Strategies

Join the Children's Research Institute for a hybrid seminar with Lauren Frazer, MD, PhD, an Assistant Professor of Pediatrics and a specialist in the field of Neonatal-Perinatal Medicine 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

Join Zoom

Golden Goose Award Virtual Nominations Briefing

Thanks for your interest in the Golden Goose Award! This event is a virtual briefing to learn more about the Award and how you can help highlight awarded work and/or nominate future awardees.

The Golden Goose Award was envisioned by former Congressman Jim Cooper of Tennessee in coordination with several science and higher education associations including the American Association for the Advancement of Science (AAAS) and the Association of American Universities (AAU). The Golden Goose Award celebrates the importance of federally funded, curiosity-driven research by recognizing examples of serendipitous scientific discoveries that have led to major breakthroughs and resulted in significant societal impact. The award tells the stories behind the research, to show the public and Congressional leaders the tangible outcomes behind the federal research dollars spent.

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In this session, participants will have the opportunity to ask questions and seek feedback on their qualitative analysis from facilitators and other attendees. This session serves as a workshop in which participants get a chance to discuss and review qualitative analysis techniques while also learning from others.

To attend, participants must be working on a qualitative data analysis project and can seek feedback on any step in the process (e.g., coding, creating matrices/diagrams/other products, developing categories or themes, summarizing data). Participants must have attended an Introduction to Qualitative Data Analysis training offered by NC TraCS (either the session offered on October 3, 2024 or a previously offered session).

Please note: We will not be presenting information about qualitative analysis in this session; instead, we will ask participants to share where they are in their analysis process, ask questions about their analyses, and collectively discuss strategies for moving our analyses forward.

Facilitators:

MaryBeth Grewe, MPH
Program Manager, Qualitative Research Service
Research Specialist, Patient and Community Engagement in Research (PaCER) Program
NC TraCS Institute

Simone Frank, MPH
Senior Project Manager, Patient and Community Engagement in Research (PaCER) Program
Research Specialist, Qualitative Research Service
NC TraCS Institute

Ese Aikhuele, MPH
Project Manager, Patient and Community Engagement in Research (PaCER) Program
NC TraCS Institute

Milenka Jean-Baptiste, MPH
Qualitative Research Specialist
NC TraCS Institute

Sharita Thomas, MPP
Qualitative Research Specialist
NC TraCS Institute

Marissa Velarde, MPH
Qualitative Research Specialist
NC TraCS Institute

Eligibility Screener

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 stop in to ask questions about their specific study on ResearchMatch. 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 at researchmatch.org.

Register

Early Diagnosis and Treatment of Asthma and COPD

This NIH Collaboratory Rethinking Clinical Trials Grand Rounds features:

Shawn Aaron, MD
Professor
University of Ottawa

Learn More

This 2-part (10/14/24/24 & 10/16/24) 5-hour course will be offered via Zoom, over two mornings. Attendance is required as the course will not be recorded.

In this course, participants will learn how to keep track of the code they use in their research using the version control system Git and the collaboration platform GitHub. Git allows you to keep track of changes to your code, easily revert to previous versions, and “tag” versions of code used in publications so that the exact code used can be retrieved at a later date. GitHub allows Git users to collaborate with each other on projects by managing simultaneous changes to the same files and allowing users to review and discuss each others’ code. Git and Github are applicable to any text-based programming or analysis language, including R, Python, Stata, Julia, and others.

Participants should create a github account at github.com and install git prior to the class. Windows users can download git at https://git-scm.com/download/win; there are multiple installation options, the first link is fine. Mac users can install git by opening the terminal application (in Applications -> Utilities -> Terminal) and typing “git version” (no quotes) and pressing enter. If git is not installed, you will be prompted to install it.

Register

NC TraCS Data Science Seminar Series: Matching: An Observational Necessity

This seminar will provide a brief overview for why and how to match cohorts for use in studies using observational data, with a particular view to utilization of existing matching tools in Python and R.

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.

register

Qualtrics is a powerful browser-based web-survey tool. It is available to UNC Chapel Hill faculty, staff, and students, for UNC-related projects. Qualtrics allows users to build complex surveys, distribute them, and analyze the responses all from one place.

In this course, we will cover basic Qualtrics functions beginning with an overview of survey options and settings, followed by hands-on practice programming and distributing a survey and downloading results. We will program some of the most common question and response types, customize requirements and validation, and add display logic, skip logic, and basic branch logic in the “survey flow”. We will then create and upload a contact list and discuss advantages and disadvantages of distributing the survey with an anonymous link vs. the survey mailer. Finally, we will cover a basic overview of the Data & Analysis tab for viewing, editing, and exporting raw data into various formats including .csv, .tsv, .excel, and .spss. Other topics include project sharing/ collaboration, Groups and Libraries, and preventing fraudulent responses and bot activity.

This is an introductory course and will not cover use of the online analysis tools within Qualtrics. Please note, this is a hands-on course. All participants are required to create a Qualtrics account before the course.

Register

This 2-part (10/14/24/24 & 10/16/24) 5-hour course will be offered via Zoom, over two mornings. Attendance is required as the course will not be recorded.

In this course, participants will learn how to keep track of the code they use in their research using the version control system Git and the collaboration platform GitHub. Git allows you to keep track of changes to your code, easily revert to previous versions, and “tag” versions of code used in publications so that the exact code used can be retrieved at a later date. GitHub allows Git users to collaborate with each other on projects by managing simultaneous changes to the same files and allowing users to review and discuss each others’ code. Git and Github are applicable to any text-based programming or analysis language, including R, Python, Stata, Julia, and others.

Participants should create a github account at github.com and install git prior to the class. Windows users can download git at https://git-scm.com/download/win; there are multiple installation options, the first link is fine. Mac users can install git by opening the terminal application (in Applications -> Utilities -> Terminal) and typing “git version” (no quotes) and pressing enter. If git is not installed, you will be prompted to install it.

Register

UNC NRP October Education Session: Pathways to Success in Your Research Career and Professional Development

This NRP Education session focuses on pathways to success in your research career and the professional development opportunities that can help you along the way.

Register

Rigorous Testing of Behavior Change Interventions: Lessons from the BE ACTIVE Randomized Clinical Trial

This NIH Collaboratory Rethinking Clinical Trials Grand Rounds features:

Alexander Fanaroff, MD, MHS
Assistant Professor of Medicine
Perelman School of Medicine
University of Pennsylvania

Learn More

University Research Week returns with the theme Back to Basics. This year, we celebrate the power of foundational research and its real-world impact across many disciplines.

Join us as we highlight the importance of fundamental research as the bedrock of innovation, showcase how groundbreaking discoveries translate to real-world solutions, and offer workshops to equip students and researchers with best practices for diving into and excelling in research.

University Research Week is an annual, campus-wide event sponsored by the Office of the Vice Chancellor for Research and the Office of Undergraduate Research.

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Mapping the Participant Journey: Disability Inclusion in the Research Process

The Penn State Community Health Equity & Engagement in Research (CHEER) team is pleased to offer an educational session aimed at addressing the importance of disability inclusion in the research process. This session will feature an interactive exercise led by Willyanne DeCormier Plosky, DrPH, Program Director at the Multi-Regional Clinical Trials Center of Brigham and Women’s Hospital and Harvard. Participants will be provided with a review of disability statistics and disability rights, ways to build accessibility into different stages of the clinical trial life cycle, and resources to support accessibility efforts.

Poseidon and FABRIC: Stitching Together Innovation with FABRIC Users

Join the FABRIC team for an insightful webinar on featuring Cong Wang, Imtiaz Mahud, and Mariam Kiran as they introduce and demonstrate Poseidon, a tool designed to optimize big data flows across various facilities by leveraging the FABRIC platform. This session will begin with a concise overview of Poseidon’s capabilities, highlighting its role in connecting large-scale data networks and enhancing their efficiency. The presenters will discuss the importance of FABRIC and the exclusive features that support Poseidon’s network optimization efforts. The tutorial will include a demo showcasing what Poseidon is accomplishing and how FABRIC users can benefit from it, featuring a video by Imtiaz Mahud.

Learn more at the FABRIC Knowledge Base.

register

University Research Week returns with the theme Back to Basics. This year, we celebrate the power of foundational research and its real-world impact across many disciplines.

Join us as we highlight the importance of fundamental research as the bedrock of innovation, showcase how groundbreaking discoveries translate to real-world solutions, and offer workshops to equip students and researchers with best practices for diving into and excelling in research.

University Research Week is an annual, campus-wide event sponsored by the Office of the Vice Chancellor for Research and the Office of Undergraduate Research.

Learn More

This course will take place over two days (10/22/24 and 10/24/24) and will be offered via Zoom. Attendance is required as the course will not be recorded.

Complex survey sampling techniques (e.g., clustering, stratification, oversampling) allow for cost efficient estimation for large, dispersed populations. As such, they are frequently used in demographic, health, and public opinion survey research settings. In recent years, Bayesian statistical methods, due to their flexibility and intuitive interpretation relative to frequentist methods, have become increasingly popular for analyzing complex survey sample data; however, complex survey sampling introduces certain features (e.g., unequal selection probabilities, dependencies between observations) that violate traditional statistical assumptions and can bias survey estimates.

This course provides a practical introduction to the csSampling R package, which addresses these issues by implementing Bayesian estimation under complex survey sampling. The course will begin with an introduction to Bayesian statistical methods and complex survey sampling as well as the differences between Bayesian and frequentist methods to account for complex survey design. The bulk of the course will focus on a guided tutorial of the csSampling package with sample data and R code. Finally, the instructors will present use cases of how they have used the package in their own research.

Register

Talk to core directors about your research. Core directors will be at Koury Oral Health Sciences Building (385 S. Columbia St) in the 1st and Ground Floor lobbies with posters and other information about their services and will highlight new services and technologies available to customers. Learn about all of the amazing research infrastructure UNC cores provide across the disciplines. Food will be provided for attendees who have their registration card signed by the requisite number of core directors!

Using the Data Within FABRIC: Mastering FABRIC Tips and Tricks

Join the FABRIC team for a deep dive into utilizing a wealth of data measured on the FABRIC platform. In this session, Jim Griffioen will guide participants through the essential features that make FABRIC a unique and powerful tool for data-driven research and innovation. The webinar will cover the importance of FABRIC in advancing network experimentation, highlight its exclusive capabilities, and provide a hands-on demo on how to use the data within FABRIC effectively. The session will also offer valuable resources for further exploration.

Learn more at the FABRIC Knowledge Base.

register

University Research Week returns with the theme Back to Basics. This year, we celebrate the power of foundational research and its real-world impact across many disciplines.

Join us as we highlight the importance of fundamental research as the bedrock of innovation, showcase how groundbreaking discoveries translate to real-world solutions, and offer workshops to equip students and researchers with best practices for diving into and excelling in research.

University Research Week is an annual, campus-wide event sponsored by the Office of the Vice Chancellor for Research and the Office of Undergraduate Research.

Learn More

Department of Defense Research Roundtable: Exploring New Sources of Extramural Funding

Please join the UNC Office of Research Development and the UNC School of Medicine Office of Research for a moderated panel discussion showcasing fellow faculty funded through various defense-related research sponsors. Panelists will include Frank Leibfarth, PhD (Chemistry), Johna Register-Mihalik, PhD (Exercise & Sports Science), Ray Tan, MD, MSHPM (Urology), Jason Whitmire, PhD (Genetics), and Wei You, PhD (Chemistry & Applied Physical Sciences).

Learn how to approach an application to these sponsors from project ideation and alignment with agency to working with Department of Defense program personnel and project management. Coffee and continental breakfast will be provided from 9 – 9:30 a.m. The roundtable discussion will begin at 9:30 a.m.

register

The fair will feature over 25 UNC research labs and projects from marine biology to robotics to drones to music. UNC-Chapel Hill has a type of research that will pique your interest.

Visit the Great Hall in the FPG Carolina Student Union to get an up-close look at what some of our researchers do and see how you can get involved. Join us for an afternoon of demonstrations, interactive experiments, and a look behind the scenes at how discoveries are made in the lab and beyond.

University Research Week Forum

Please join the Department of Health Sciences Office of Research & Scholarship for their October research forum. Kristen Janky, AuD, PhD, CCC-A, director of the Vestibular and Balance Laboratory at the Boys Town National Research Hospital, will present Assessment and Consequences of Pediatric Vestibular Dysfunction.

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

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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The UNC Student Chapter of the International Society for Pharmacoepidemiology (SISPE) is pleased to announce the 17th Annual Harry Guess Memorial Lecture with Sebastian Schneeweiss, MD, ScD. Schneeweiss will give a lecture titled, “Learnings from emulating randomized trials for the conduct of pharmacoepidemiologic studies”. For those joining in person in the Tate-Turner-Kuralt auditorium (room 136) there will be a reception immediately following the lecture. Register for the event to receive access to the Zoom information.

Register

Navigating through Data/Analytic Expectations: An Overview of Differences among Funding Agencies

The perspectives and requirements of different funding agencies can impact a Biostatistician's work - in the initial grant's analytic plan, in the reporting of results, and in expectations of sharing data after the grant is completed. This talk will focus on differences among some agencies that is intended to help you navigate your role successfully as you work with a collaborative team, and in some cases, lead the team on this issue as well!

Speaker:
Jane Pendergast, PhD
Professor Emeritus, Department of Biostatistics and Bioinformatics
Duke University School of Medicine

This event is co-sponsored by the Duke Department of Biostatistics and Bioinformatics and the Duke Biostatistics, Epidemiology, and Research Design (BERD) Methods Core. It is being cross-promoted by the NC BERD Consortium, a collaboration of the CTSA-funded BERD cores at UNC-Chapel Hill, Wake Forest University School of Medicine, and Duke University School of Medicine.

University Research Week returns with the theme Back to Basics. This year, we celebrate the power of foundational research and its real-world impact across many disciplines.

Join us as we highlight the importance of fundamental research as the bedrock of innovation, showcase how groundbreaking discoveries translate to real-world solutions, and offer workshops to equip students and researchers with best practices for diving into and excelling in research.

University Research Week is an annual, campus-wide event sponsored by the Office of the Vice Chancellor for Research and the Office of Undergraduate Research.

Learn More

This course will take place over two days (10/22/24 and 10/24/24) and will be offered via Zoom. Attendance is required as the course will not be recorded.

Complex survey sampling techniques (e.g., clustering, stratification, oversampling) allow for cost efficient estimation for large, dispersed populations. As such, they are frequently used in demographic, health, and public opinion survey research settings. In recent years, Bayesian statistical methods, due to their flexibility and intuitive interpretation relative to frequentist methods, have become increasingly popular for analyzing complex survey sample data; however, complex survey sampling introduces certain features (e.g., unequal selection probabilities, dependencies between observations) that violate traditional statistical assumptions and can bias survey estimates.

This course provides a practical introduction to the csSampling R package, which addresses these issues by implementing Bayesian estimation under complex survey sampling. The course will begin with an introduction to Bayesian statistical methods and complex survey sampling as well as the differences between Bayesian and frequentist methods to account for complex survey design. The bulk of the course will focus on a guided tutorial of the csSampling package with sample data and R code. Finally, the instructors will present use cases of how they have used the package in their own research.

Register

FemTech Collaborative Series: Networking Event

Join FastTraCS, our medtech incubator, at Top of the Hill Restaurant & Brewery in downtown Chapel Hill for an open networking session. This event is an opportunity to connect, engage, share, and build relationships in a relaxed and informal setting. Whether you're a researcher, student, healthcare professional, or simply interested in the future of women's health technology, you won't want to miss this chance to be part of a community dedicated to innovative solutions and collaboration.

The FemTech Collaborative Series at UNC-Chapel Hill, coordinated by FastTraCS, is focused on dismantling barriers and enhancing the commercialization of FemTech innovations. This series seeks to broaden community engagement and awareness for Women's Health innovation within UNC and UNC Health. Through a series of events, the program aims to amplify visibility; forge connections among researchers, entrepreneurs, and projects; and bolster the support structure for FemTech innovations. The series addresses critical issues such as fundraising strategies, need for best practices in FemTech development, and challenges of translating innovative ideas into viable commercial products. Each event is designed to engage attendees through panel discussions, Q&A sessions, and Demo Days, fostering a culture of innovation and sustainability in Women's Health.

University Research Week returns with the theme Back to Basics. This year, we celebrate the power of foundational research and its real-world impact across many disciplines.

Join us as we highlight the importance of fundamental research as the bedrock of innovation, showcase how groundbreaking discoveries translate to real-world solutions, and offer workshops to equip students and researchers with best practices for diving into and excelling in research.

University Research Week is an annual, campus-wide event sponsored by the Office of the Vice Chancellor for Research and the Office of Undergraduate Research.

Learn More

Hybrid Working from Home Improves Retention Without Damaging Performance

This NIH Collaboratory Rethinking Clinical Trials Grand Rounds features:

Nicholas Bloom, PhD
Professor of Economics
Stanford University

Learn More

This course will take place over two days (10/29/24 and 10/31/24) and will be offered via Zoom. Attendance is required as the course will not be recorded.

Nesting can arise from hierarchical data structures (e.g., siblings nested within family; patients nested within therapist), longitudinal data structures (repeated measures nested within individual), or both (repeated measures nested within patient and patient nested within therapist).

It is well known that the analysis of nested data structures using traditional general linear models (e.g., ANOVA or regression) is flawed, oftentimes substantially so: Tests of significance are likely biased and within- and between-group effects are confounded with one another. All of these limitations can be addressed within the multilevel model.

This workshop provides an introduction to the application of multilevel models with nested data, including software implementation in SAS, SPSS and Stata.

Register

This 2-day course (10/30 & 10/31) will be offered ONLINE. It will not be recorded as there are in-class activities.

With increased interest in person-centered interventions and treatments has come increased interest in understanding human processes as they unfold within individuals. Additionally, technological advances have made the collection of person-specific data easier and more cost-effective for researchers interested in studying human behavior within everyday contexts. This two-day course focuses on using two popular network models to explore research questions concerning within-person processes.

This course is intended for individuals with research questions that can be answered using multivariate time series data/intensive longitudinal data. Examples of such data include daily diary data; data collected via self-report through ecological momentary sampling (ESM); passive data from cell phones; and other psychophysiological data such as MRI data or heart rate data.

The two network modeling frameworks presented in this course are graphicalVAR (GVAR) and Group Iterative Multiple Model Estimation (GIMME). Both models can be used to explore processes as they unfold within individuals to obtain individual person-specific network models (idiographic analysis) or group/population level network models (nomothetic analysis). Differences between the modeling frameworks will be presented. Challenges and considerations for choosing between methods will be discussed.

Register

This course will take place over two days (10/29/24 and 10/31/24) and will be offered via Zoom. Attendance is required as the course will not be recorded.

Nesting can arise from hierarchical data structures (e.g., siblings nested within family; patients nested within therapist), longitudinal data structures (repeated measures nested within individual), or both (repeated measures nested within patient and patient nested within therapist).

It is well known that the analysis of nested data structures using traditional general linear models (e.g., ANOVA or regression) is flawed, oftentimes substantially so: Tests of significance are likely biased and within- and between-group effects are confounded with one another. All of these limitations can be addressed within the multilevel model.

This workshop provides an introduction to the application of multilevel models with nested data, including software implementation in SAS, SPSS and Stata.

Register

Clinical Protocol Development Series

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.

The first day of the series will provide an introduction and focus on the following key points:
- Who needs a clinical protocol and why it is important
- UNC Scientific Review Committee processes
- Types of clinical protocols, and content expectations for sections of the protocol
- Resources and tools available at UNC to support clinical protocol development

Target Audience: academic researchers, scientists, study coordinators, and students engaged in clinical research and/or clinical trials.

ACRP Contact Hours Update: The ACRP no longer approves 3rd party requests for CE credit. However, attendees are still welcome to self-report to ACRP for CE credit.

Register

This 2-day course (10/30 & 10/31) will be offered ONLINE. It will not be recorded as there are in-class activities.

With increased interest in person-centered interventions and treatments has come increased interest in understanding human processes as they unfold within individuals. Additionally, technological advances have made the collection of person-specific data easier and more cost-effective for researchers interested in studying human behavior within everyday contexts. This two-day course focuses on using two popular network models to explore research questions concerning within-person processes.

This course is intended for individuals with research questions that can be answered using multivariate time series data/intensive longitudinal data. Examples of such data include daily diary data; data collected via self-report through ecological momentary sampling (ESM); passive data from cell phones; and other psychophysiological data such as MRI data or heart rate data.

The two network modeling frameworks presented in this course are graphicalVAR (GVAR) and Group Iterative Multiple Model Estimation (GIMME). Both models can be used to explore processes as they unfold within individuals to obtain individual person-specific network models (idiographic analysis) or group/population level network models (nomothetic analysis). Differences between the modeling frameworks will be presented. Challenges and considerations for choosing between methods will be discussed.

Register