• Development of a hybrid Bayesian network model for predicting acute fish toxicity using multiple lines of evidence 

      Moe, Jannicke; Madsen, Anders; Connors, Kristin; Rawlings, Jane; Belanger, Scott; Landis, Wayne; Wolf, Raoul; Lillicrap, Adam David (Peer reviewed; Journal article, 2020)
      A hybrid Bayesian network (BN) was developed for predicting the acute toxicity of chemicals to fish, using data from fish embryo toxicity (FET) testing in combination with other information. This model can support the use ...
    • Limitations and Uncertainties of Acute Fish Toxicity Assessments Can Be Reduced Using Alternative Methods 

      Paparella, Martin; Scholz, Stefan; Belanger, Scott; Braunbeck, Thomas; Bicherel, Pascal; Connors, Kristin; Faßbender, Christopher; Halder, Marlies; Lillicrap, Adam David; Liska, Roman; Schirmer, Kristin; Stoddart, Gilly; Thomas, Paul; Walter-Rohde, Susanne (Peer reviewed; Journal article, 2021)
      Information about acute fish toxicity is routinely required in many jurisdictions for environmental risk assessment of chem­icals. This information is typically obtained using a 96-hour juvenile fish test for lethality ...