July 2023 Workshop

Jul 18 2023, 01:00 PM - Jul 20 2023, 05:00 PM (EDT)

Workshop Overview:

This workshop will provide participants with knowledge and hands-on experience in benchmark dose modeling for chemical risk assessment using the Bayesian Benchmark Dose (BBMD) modeling system. The workshop will cover various topics, including Bayesian benchmark dose modeling for toxicological, epidemiological, and genomic data with various data format (e.g., dichotomous, continuous data), probabilistic dose-response modeling and low-dose extrapolation, and the collaborative features of the BBMD system.

Workshop Information:

Date and Time: 1PM to 5PM (EDT) on every day from Tuesday July 18, 2023 to Thursday July 20, 2023
Format and Capacity: Online Zoom meeting, 40 participants maximum
Price: $500 ($600 after 11:59PM on July 7, 2023)
Instructors:
  • Dr. Kan Shao, Associate Professor of Environmental and Occupational Health, Indiana University – Bloomington
  • Dr. Weihsueh Chiu, Professor of Veterinary Integrative Biosciences, Texas A&M University
  • Andrew Weissmann, Lead Programmer, DREAM Tech, LLC
Workshop Agenda (Time in EDT):
Tuesday, July 18, 2023
1:00 PM – 2:30 PM: Introduction on benchmark dose modeling methodology (Kan Shao)
2:30 PM – 2:45 PM: Break
2:45 PM – 4:45 PM: Demonstration on the Bayesian Benchmark Dose (BBMD) analysis for dichotomous and data with exercises (Kan Shao)
4:45 PM – 5:00 PM: Q&A (Kan Shao)
Wednesday, July 19, 2023
1:00 PM – 2:45 PM: BMD analysis using BBMD system for continuous data and categorical data (Kan Shao)
2:45 PM – 3:00 PM: Break
3:00 PM – 4:15 PM: Probabilistic low-dose extrapolation using BBMD (Weihsueh Chiu)
4:15 PM – 4:30 PM: Break
4:30 PM – 5:00 PM: Batch processing for BMD analysis using BBMD (Kan Shao)
Thursday, July 20, 2023
1:00 PM – 2:30 PM: BMD analysis using epidemiological data in BBMD (Kan Shao)
2:30 PM – 2:45 PM: Break
2:45 PM – 4:15 PM: Genomic data BMD analysis in BBMD (Kan Shao)
4:15 PM – 4:25 PM: Break
4:25 PM – 4:50 PM: Collaborative features of BBMD (Andrew Weissmann and Kan Shao)
4:50 PM – 5:00 PM: Q&A (Kan Shao and Andrew Weissmann)