May 2022 BBMD Training Workshop

May 31 2022, 01:00 PM - Jun 02 2022, 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 with the Bayesian Benchmark Dose (BBMD) modeling system. The workshop will cover a number of topics, including probabilistic dose-response modeling in a Bayesian framework, BMD analysis for dichotomous, continuous, categorical, and genomic data, etc. Additionally, the collaborative features of the BBMD system, such as the dose-response data database, BMD analyses library will be introduced.

Workshop Information:

Date and Time: 1PM to 5PM (EDT) on every day from Tuesday May 31, 2022 to Thursday June 2, 2022
Format and Capacity: Online Zoom meeting, 40 participants maximum
Price: $500 ($600 after 11:59PM on May 20, 2022)
  • 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, May 31, 2022
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, June 1, 2022
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 – 4:45 PM: Probabilistic reference dose (RfD) estimation using BBMD (Weihsueh Chiu)
4:45 PM – 5:00 PM: Q&A (Weihsueh Chiu and Kan Shao)
Thursday, June 2, 2022
1:00 PM – 2:15 PM: BMD analysis for genomic data using BBMD (Kan Shao)
2:15 PM – 2:45 PM: Batch processing for BMD analysis using BBMD (Kan Shao)
2:45 PM – 3:00 PM: Break
3:00 PM – 4:00 PM: Discussion on model-averaged BMD estimation (Kan Shao)
4:00 PM – 4:45 PM: BBMD structure and organizational accounts (Andrew Weissmann)
4:45 PM – 5:00 PM: Q&A (Kan Shao and Andrew Weissmann)