Join a live training session for the N3C Data Enclave. Users of all types can learn how to navigate the N3C, utilize the Enclave and resources it provides, and learn how to better achieve their analytical goals. This orientation is split into 2 sessions – Session A and Session B. These orientations are ongoing and will alternate week by week. Session A is recommended before attending Session B

Session B is for analysts, statisticians, data scientists, or anyone who wants to gain a broader understanding of the tools needed to work with the data.

Topics include:

• Focus on technical aspects of working with data in the secure N3C Enclave, including use of OMOP concept sets and N3C-specific tooling, such as the Concept Set Browser.
• Introduce commonly used analysis tools, such as Contour and Code Workbooks and corresponding workflows for simple analyses.
• Introduce the Enclave Knowledge Store, a mechanism for sharing and using community-developed code and data across projects.

Note: This orientation is held alternating Tuesdays | 8-9:30am PT/11am-12:30pm ET

Register

This course will be offered via Zoom only. However, this course will not be recorded.

Introduction to Multilevel Modeling is a two-day workshop focused on the application and interpretation of multilevel models, also known as hierarchical linear models and mixed models, for the analysis of nested data structures. 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. In this workshop, we provide an introduction to the application of multilevel models with nested data, including software implementation in SAS, SPSS and Stata.

Instructors: Dan Bauer and Patrick Curran

Dan Bauer is a Professor in the L.L. Thurstone Psychometric Laboratory in the Department of Psychology and Neuroscience at the University of North Carolina. He teaches primarily graduate-level courses in statistical methods, for which he has won teaching awards from the University of North Carolina and from the American Psychological Association. He regularly teaches classes and workshops on multilevel modeling. In addition, he has contributed to the research literature on multilevel models, making extensions to address specific problems in the behavioral, social, and health sciences.
Patrick Curran is a Professor and the Director of the L.L. Thurstone Psychometric Laboratory in the Department of Psychology and Neuroscience at the University of North Carolina at Chapel Hill. Patrick has dedicated much of his career to the teaching and dissemination of advanced quantitative methods and has won teaching awards from UNC and from the American Psychological Association. His program of research includes an emphasis on multilevel modeling, particularly as applied within a longitudinal setting to capture individual differences in growth over time.
 
Registration Fees:
– UNC-CH Students – $0, with a $35 deposit to hold your spot (deposit is refundable upon your attendance)
– UNC-CH Faculty/Staff/Postdoc/Non-UNC – $95
– Non-UNC-CH: $145

Register

Registration closes at 12:01am on 9/5/2021. Once registration closes, no late registrations will be accepted. NO EXCEPTIONS!

* Cancellation/ Refund Policy: A full refund will be given to those who cancel their registration no later than 10 days prior to the course. If you cancel within the 10 days prior to the class, no refund will be given. Please allow 30 days to receive your refund.

UNC School of Social Work and the Office of Provost are collaborating to host the Race, Racism, and Racial Equity Symposium! Join them for the fourth event in the R3 series, "The Many Faces of Environmental (In)Justice: Scholarship Addressing Racism, Infrastructure and Climate Action." Scholars will share their work addressing environmental racism, including the impact of pollution on BIPOC communities, racist planning policies and white supremacist investments in transportation systems. 

Panelists: 
Anderson (Andy) Al Wazni - Doctoral Student at School of Social Work
Morgan Richey - Doctoral Student at Department of Epidemiology
Seth Lajeunsse - Senior Research Associate at Highway Traffic Research Center
Dr. Danielle Spurlock - Assistant Professor at Department of City and Regional Planning 

Moderator: 
Dr. Travis Albritton - Associate Dean for Diversity, Equity, and Inclusion at the School of Social Work 

Register

This course will be offered via Zoom only. However, this course will not be recorded.

Introduction to Multilevel Modeling is a two-day workshop focused on the application and interpretation of multilevel models, also known as hierarchical linear models and mixed models, for the analysis of nested data structures. 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. In this workshop, we provide an introduction to the application of multilevel models with nested data, including software implementation in SAS, SPSS and Stata.

Instructors: Dan Bauer and Patrick Curran

Dan Bauer is a Professor in the L.L. Thurstone Psychometric Laboratory in the Department of Psychology and Neuroscience at the University of North Carolina. He teaches primarily graduate-level courses in statistical methods, for which he has won teaching awards from the University of North Carolina and from the American Psychological Association. He regularly teaches classes and workshops on multilevel modeling. In addition, he has contributed to the research literature on multilevel models, making extensions to address specific problems in the behavioral, social, and health sciences.
Patrick Curran is a Professor and the Director of the L.L. Thurstone Psychometric Laboratory in the Department of Psychology and Neuroscience at the University of North Carolina at Chapel Hill. Patrick has dedicated much of his career to the teaching and dissemination of advanced quantitative methods and has won teaching awards from UNC and from the American Psychological Association. His program of research includes an emphasis on multilevel modeling, particularly as applied within a longitudinal setting to capture individual differences in growth over time.
 
Registration Fees:
– UNC-CH Students – $0, with a $35 deposit to hold your spot (deposit is refundable upon your attendance)
– UNC-CH Faculty/Staff/Postdoc/Non-UNC – $95
– Non-UNC-CH: $145

Register

Registration closes at 12:01am on 9/5/2021. Once registration closes, no late registrations will be accepted. NO EXCEPTIONS!

* Cancellation/ Refund Policy: A full refund will be given to those who cancel their registration no later than 10 days prior to the course. If you cancel within the 10 days prior to the class, no refund will be given. Please allow 30 days to receive your refund.

Registration is open for the 2021-2022 TraCS Professional Development Seminar series. This seminar series is aimed at research professionals, graduate students, postdocs and early stage faculty researchers. In this series, we cover foundational skills useful for career development in clinical/translational research.

The TraCS Professional Development Seminar series is split into 4 modules: Finding Funding, Communication Skills, Mentor-Mentee Training, and Rigor and Reproducibility.

Finding Funding

Through the UNC Event Registration system, you will be able to select which sessions you would like to attend. Please note: the Zoom link that you receive upon registration will work for all sessions within the Finding Funding module. Each session will be held in-person and/or via Zoom on Fridays.

Register