Faculty and researchers are invited to learn more about the expansive longitudinal database maintained by the North Carolina Education Research Data Center (NCERDC), as well as a variety of ways that external administrative or survey data can be integrated with students’ education records.
Date
5/05/2023 - 5/05/2023
Time
9:00am - 11:00am
Venue
Sanford Building, Rhodes Conference Room
Join us for this 2-day workshop sponsored by the National Institute for Health (NIH).
Date
3/15/2023 - 3/16/2023
Time
9:00am - 5:30pm
Venue
JB Duke Hotel
In this Links Lecture, sponsored by the American Statistical Association, Professor of Statistical Science and DUPRI Scholar Jerry Reiter will discuss integration of data from multiple sources, often known as data blending, which is a core activity for many statistical agencies. According to Reiter: "It promises to become increasingly prevalent in the future. However, data blending creates challenges for protecting the privacy and confidentiality of data subjects' identities and sensitive attributes, especially when the agency responsible for the blending seeks to disseminate public-use data products. In this talk, I describe some of the challenges to protecting confidentiality with blended data products. Along the way, I discuss techniques that statistical agencies have traditionally used to reduce disclosure risks in public use data files, as well as newer methods like synthetic data, verification/validation services, and differential privacy. I conclude with a set of big picture questions intended to motivate research on how agencies can facilitate access to confidential, blended data."
Date
1/24/2023 - 1/24/2023
Time
12:00pm - 1:00pm
Venue
Zoom
DUPRI will be hosting a workshop, Multilevel Modeling in R, on November 30. This 4-hour training will cover the basics of running multilevel models in R, including specification and syntax, interpretation and displaying of results, and model checking and comparison.
Date
11/30/2022 - 11/30/2022
Time
9:00am - 1:00pm
Venue
Gross Hall, Room 230C
DUPRI will be hosting a workshop, Generalized Linear Models in R, on November 16. This 4-hour training will cover the basics of running GLMs in R, including specification and syntax, interpretation and displaying of results, and model checking.
Date
11/16/2022 - 11/16/2022
Time
9:00am - 1:00pm
Venue
Gross Hall, Room 230C
DUPRI is co-sponsoring the Science at the Intersection of Genetics, Identity, and Health workshop, organized by Hermann Pontzer, Professor of Evolutionary Anthropology. The workshop will take place Friday, November 4 at the JB Duke. In-person registration will be limited and offered on a first-come first-serve basis, but the workshop will also be accessible virtually via Zoom! For those attending in-person, there will be catered coffee/light breakfast and lunch available.
Date
11/04/2022 - 11/04/2022
Time
8:15am - 5:00pm
Venue
JB Duke Hotel
Researchers from the Parenting Across Cultures longitudinal study will present their findings on the effects of the pandemic, health-compromising and risky behaviors, education, work, and intimate partnerships during this half-day conference.
Date
10/20/2022 - 10/20/2022
Time
9:00am - 12:00pm
Venue
Sanford 223, Rhodes Conference Room
DUPRI will be hosting Chuck Huber from StataCorp on Tuesday, October 4 to give three talks on applied methods using Stata. The talks will be Introduction to Mediation Analysis, Multilevel/Longitudinal Modeling, and Latent Class Analysis. In addition to the talks, lunch will be provided.
Date
10/04/2022 - 10/04/2022
Time
12:00pm - 4:00pm
Venue
Gross Hall, Room 230E
The Social Networks and Health (SN&H) workshop, sponsored by the Duke Network Analysis Center (DNAC) and DUPRI, offers comprehensive training in network methods for health scholars. Thanks to generous support from the NIH, we offer this training completely free of charge.
Date
5/10/2022 - 5/12/2022
Time
11:00am - 4:00pm
DUPRI will be hosting a workshop, Text Analysis using R, on April 20. This 4-hour training (one morning and one afternoon session) provides an introduction to computational text analysis using R.
Date
4/20/2022 - 4/20/2022
Time
10:00am - 2:30pm
Venue
To attend this event, you must RSVP to laura.satterfield@duke.edu no later than Monday, April 18.