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Probabilistic assessment method of the non-monotonic dose-responses-Part II: Robustness assessment
Grégoire Chevillotte1, Audrey Bernard1, Clémence Varret2
1Laboratoire d'Evaluation du Risque Chimique pour le Consommateur (LERCCo), Université Européenne de Bretagne - Université de Bretagne Occidentale (UEB-UBO), UFR Sciences et Techniques, 6 Av. Victor Le Gorgeu, CS93837, 29238 Brest Cedex 3, France.
We improved a probabilistic method for analyzing dose-response curves. The new approach assesses curve robustness using a 4-criterion scoring system, enhancing statistical characterization for various data types.
Area of Science:
- Pharmacology and Toxicology
- Biostatistics
- Computational Biology
Background:
- Previous methods probabilistically assessed non-monotonic dose-response curves.
- Statistical plausibility was determined by dominant category probability, lacking robustness information.
Purpose of the Study:
- To enhance a probabilistic method for dose-response curve analysis.
- To introduce a scoring system for assessing slope robustness of sampled curves.
Main Methods:
- Integrated a scoring system with 4 criteria: distribution, intensity, minimum, and maximum confirmation.
- Applied the enhanced probabilistic method to 544 dose-response curves from databases and other methodologies.
Main Results:
- The developed method provides concrete and probabilistic characterization of analyzed curves.
- Evaluated statistical plausibility and robustness based on sampled curves.
Conclusions:
- The improved method offers a robust and statistically plausible characterization of dose-response curves.
- Applicable to continuous and discrete data with a minimum of three doses.
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