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An R-shiny application to calculate optimal designs for single substance and interaction trials in dose response
T Holland-Letz1, A Kopp-Schneider1
1German Cancer Research Center, Im Neuenheimer Feld 280, 69120 Heidelberg, Germany.
This study introduces a user-friendly application for optimal experimental design in dose-response studies. It simplifies the calculation of D-optimal designs for single and multiple substance interactions, enhancing precision in parameter estimation.
Area of Science:
- Biostatistics
- Pharmacometrics
- Experimental Design
Background:
- Optimal experimental design theory aims to maximize parameter estimation precision.
- Dose-response experiments require careful selection of dose levels for accurate results.
- Existing optimal design theory is mathematically complex, limiting practical application.
Purpose of the Study:
- To develop an accessible application for optimal experimental design in dose-response studies.
- To simplify the application of optimal design theory for practitioners.
- To facilitate the creation of precise experimental designs for singular and interaction dose-response relationships.
Main Methods:
- Applied established optimal experimental design theory to dose-response scenarios.
- Focused on log-logistic and Weibull dose-response functions.
- Implemented optimal design algorithms within an R-shiny online application.
Main Results:
- Developed an application for calculating D-optimal designs for singular and interaction dose-response experiments.
- The application supports analysis of various mixture ratios ('ray designs').
- Enabled evaluation of existing designs and construction of robust designs.
Conclusions:
- The R-shiny application makes advanced optimal experimental design accessible to researchers.
- Facilitates the precise estimation of parameters in complex dose-response studies.
- Supports robust experimental planning under varying parameter assumptions.
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