Statistical Methods, Developments, and Challenges in Geroscience
Meeting dates: June 16-18, 2025
Location: Indianapolis, Indiana
Hosts:
- David Allison, PhD: Dean, Distinguished Professor, and Provost Professor, Indiana University School of Public Health-Bloomington
- Colby Vorland, PhD: Assistant Research Scientist, Indiana University School of Public Health-Bloomington
- Tatiana Foroud, PhD: Executive Associate Dean for Research Affairs, Distinguished Professor, Chancellor's Professor, Indiana University Indianapolis
Purpose: This meeting is designed to be a multidisciplinary gathering of researchers and statisticians at all stages of their careers. The meeting is open to all. The three-day conference agenda offers both presentations and collaborative discussions, emphasizing statistical leadership, innovative study designs and statistical approaches and questions therein, and novel methods that can be applied to aging biology, with an emphasis on fostering the full continuum of translational science. Our objectives include 1) highlighting methodologic and statistical approaches that can be leveraged to answer questions in aging biology, 2) fostering collaboration among statisticians, methodologists, and geroscientists to solve statistical questions that will advance the field, and 3) identifying and supporting emerging leaders in the field through lightning talks and awards, fostering an environment of mentorship and recognition.
Applications
Enrollment to the workshop will be limited.
Click here to fill out the application
Thanks to our generous sponsors, there is no cost to register for the workshop. Scholarships are available to support travel reimbursement and lodging costs. Scholarships will be prioritized to early career participants, based on the application, and available as funds permit. To be considered for a scholarship, fill out the appropriate section in the application form. The priority deadline for scholarship consideration is May 16.
Meeting contact: Colby Vorland, PhD. cvorland@iu.edu
Sponsors
This meeting is generously supported by the Research Centers Collaborative Network of the NIA, the Hevolution Foundation, and a Research Conference Grant from Indiana University Research.
Draft Agenda
Time | Session Details |
---|---|
Day 1 | |
6:00 PM | Dinner and Welcome Reception by Co-Hosts |
Keynote speaker | |
Day 2 | |
8:00 AM | Breakfast and Registration |
9:00 AM | Opening Remarks and Conference Kick-off |
9:15 AM | Statistics Session 1 – Advancing Aging Research by Avoiding Improper Design and Analysis |
10:00 AM | Statistics Session 2 – TBD |
10:45 AM | Statistics Session 3 – Compression of Morbidity: Quantitative Definition and Analytic Approaches |
11:30 AM | Break |
11:45 AM | Statistics Session 4 – Treatment Response Heterogeneity: Clarifying Misconceptions in Statistical Evidence and Proposing Optimal Designs |
12:30 PM | Lunch and Discussion |
1:15 PM | Statistics Session 5 – Machine Learning for Aging Research: Best Practices |
2:00 PM | Statistics Session 6 – Pair Feeding: Are There Consequences for Statistical Dependency? |
2:45 PM | Break |
3:00 PM | Statistics Session 7 – Optimal Design of Time-to-Event Studies for Aging |
3:45 PM | Statistics Session 8 – Reducing Bias in Exposure Measurement |
4:30 PM | Statistics Panel Discussion |
5:15 PM | Break |
5:30 PM | Lightning Talks |
6:00 PM | Dinner |
Day 3 | |
9:00 AM | Breakfast |
10:00 AM | Data Sharing Session – Advancing Transparency in Geroscience |
11:15 AM | Discussion and Wrap-Up |
12:00 PM | Lunch (Optional) |
12:30 PM | Conference Concludes |