The Origin, Development, Application, Lessons Learned, and Future Regarding the Bayesian Network Relative Risk Model for Ecological Risk Assessment von Landis, Wayne G

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Per‐ and Polyfluoroalkyl Substances, Microplastics, and COVID‐19: Will We Ever Learn? von Landis, Wayne G

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A Bayesian Approach to Integrated Ecological and Human Health Risk Assessment for the South River, Virginia Mercury‐Contaminated Site von Harris, Meagan J., Stinson, Jonah, Landis, Wayne G.

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Bayesian network‐based risk assessment of synthetic biology: Simulating CRISPR‐Cas9 gene drive dynamics in invasive rodent management von Brown, Ethan A., Eikenbary, Steven R., Landis, Wayne G.

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Don't be fooled-A no-observed-effect concentration is no substitute for a poor concentration-response experiment von Fox, David R., Landis, Wayne G.

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Quantification of an Adverse Outcome Pathway Network by Bayesian Regression and Bayesian Network Modeling von Moe, S Jannicke, Wolf, Raoul, Xie, Li, Landis, Wayne G, Kotamäki, Niina, Tollefsen, Knut Erik

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Using Bayesian networks to predict risk to estuary water quality and patterns of benthic environmental DNA in Queensland von Graham, Scarlett E, Chariton, Anthony A, Landis, Wayne G

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Robust risk assessments require probabilistic approaches von Moe, S. Jannicke, Benestad, Rasmus E., Landis, Wayne G.

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Precaution and governance of emerging technologies von Kaebnick, Gregory E., Heitman, Elizabeth, Collins, James P., Delborne, Jason A., Landis, Wayne G., Sawyer, Keegan, Taneyhill, Lisa A., Winickoff, David E.

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A regional-scale ecological risk framework for environmental flow evaluations von O'Brien, Gordon C., Dickens, Chris, Hines, Eleanor, Wepener, Victor, Stassen, Retha, Quayle, Leo, Fouchy, Kelly, MacKenzie, James, Graham, P. Mark, Landis, Wayne G.

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Incorporation of climate change into a multiple stressor risk assessment for the Chinook salmon (Oncorhynchus tshawytscha) population in the Yakima River, Washington, USA von Landis, Wayne G., Mitchell, Chelsea J., Hader, John D., Nathan, Rory, Sharpe, Emma E.

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Recommendations for environmental risk assessment of gene drive applications for malaria vector control von Connolly, John B, Mumford, John D, Glandorf, Debora C M, Hartley, Sarah, Lewis, Owen T, Evans, Sam Weiss, Turner, Geoff, Beech, Camilla, Sykes, Naima, Coulibaly, Mamadou B, Romeis, Jörg, Teem, John L, Tonui, Willy, Lovett, Brian, Mankad, Aditi, Mnzava, Abraham, Fuchs, Silke, Hackett, Talya D, Landis, Wayne G, Marshall, John M, Aboagye-Antwi, Fred

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Well past time to stop using NOELs and LOELs von Landis, Wayne G, Chapman, Peter M

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Comment on ET&C perspectives, November 2015-A holistic view von Fox, David R., Landis, Wayne G.

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Key challenges and developments in wildlife ecological risk assessment: Problem formulation von Sample, Bradley E., Johnson, Mark S., Hull, Ruth N., Kapustka, Lawrence, Landis, Wayne G., Murphy, Cheryl A., Sorensen, Mary, Mann, Gary, Gust, Kurt A., Mayfield, David B., Ludwigs, Jan‐Dieter, Munns, Wayne R.

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Development of a hybrid Bayesian network model for predicting acute fish toxicity using multiple lines of evidence von Moe, S. Jannicke, Madsen, Anders L., Connors, Kristin A., Rawlings, Jane M., Belanger, Scott E., Landis, Wayne G., Wolf, Raoul, Lillicrap, Adam D.

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Ecological risk assessment in the context of global climate change von Landis, Wayne G., Durda, Judi L., Brooks, Marjorie L., Chapman, Peter M., Menzie, Charles A., Stahl Jr, Ralph G., Stauber, Jennifer L.

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Critical gaps in nanoplastics research and their connection to risk assessment von Cunningham, Brittany E, Sharpe, Emma E, Brander, Susanne M, Landis, Wayne G, Harper, Stacey L

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Incorporating climate change model projections into ecological risk assessments to help inform risk management and adaptation strategies: Synthesis of a SETAC Pellston Workshop von Stahl, Ralph G., Boxall, Alistair B.A., Brix, Kevin V., Landis, Wayne G., Stauber, Jenny L., Moe, S. Jannicke

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Evaluating nonindigenous species management in a Bayesian networks derived relative risk framework for Padilla Bay, WA, USA von Herring, Carlie E, Stinson, Jonah, Landis, Wayne G

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