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Design and analysis of dose-response experiments

Design and analysis of dose-response experiments


Design of dose-response studies
The WebApp DoseResponseDesigns calculates optimal experimental designs for log-logistic and Weibull functions, including designs for combination experiments of two substances in a ray design. It also provides the D-efficiency of any given design compared to the optimal design.
For details see:
Holland-Letz, T; Kopp-Schneider, A: An R-shiny application to calculate optimal designs for single substance and interaction trials in dose response experiments. Toxicology Letters 337, 18-27.

Analysis of dose-response studies
The WebApp MDRA performs dose-response analysis of multiple experiments. It allows for uploading of a csv-formatted data file for analysis. The four-parameter log-logistic model is used to fit dose-response data. Dose-response designs and data are visualized. Single experiments can be excluded from global analysis. Meta-analysis is used to average, e.g., EC50.
For details see:
Jiang, X, and Kopp-Schneider A. (2015). Statistical strategies for averaging EC50 from multiple dose-response experiments. Archives of Toxicology 89(11) 2119-2127. DOI 10.1007/s00204-014-1350-3
Jiang, X and Kopp-Schneider A. (2014). Summarizing EC50 estimates from multiple dose-response experiments: A comparison of a meta-analysis strategy to a mixed-effects model approach. Biometrical Journal 56(3): 493-512. DOI 10.1002/bimj.201300123

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