Related Experiment Video
Updated: May 4, 2026

An R-Based Landscape Validation of a Competing Risk Model
Published on: September 16, 2022
Strengthening the foundation of next generation risk assessment
Julie E Goodman1, Catherine Petito Boyce2, Daniella M Pizzurro1
1Gradient, 20 University Rd., 5th Floor, Cambridge, MA 02138, United States.
Abstract:
In a recent draft report, Next Generation Risk Assessment: Incorporation of Recent Advances in Molecular, Computational, and Systems Biology, the US Environmental Protection Agency presents valuable contributions to understanding the roles that evolving toxicity testing methods and associated interpretative techniques can play in assessing the risks associated with chemical exposures. However, the evaluations presented in the NexGen report would benefit from more thorough consideration of several essential components of a critical review of toxicity data, e.g., data quality, data relevance, and the extent to which the test endpoints reflect adverse effects. Such considerations are necessary to ensure that the NexGen report evaluations--and the resulting conclusions and recommendations--are grounded in scientifically sound, representative data reviews. We illustrate these concerns with a critique of the report's prototype ozone evaluation. Although substantial additional research is needed before new toxicity data types can be used reliably in rigorous risk assessment applications, they clearly offer exciting opportunities for advancing toxicological science and risk assessment. By explicitly identifying limitations still to be addressed and providing stronger guideposts for future research needs, the NexGen report could serve an influential role in achieving the promise of these new research approaches.
Related Concept Videos
Relative Risk
Actuarial Approach
Consider the example of a high-risk surgical procedure with significant early-stage mortality. A two-year clinical study is conducted,...
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
Strategies for Assessing and Addressing Confounding
Confounding can be addressed at both the design phase of a study and through analytical methods after data...
Design Example: Analyzing Capacity Contours for Flood Risk Assessment
Principles of Disease Surveillance
