Fitting dose-response models in R
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Updated
May 21, 2024 - R
Fitting dose-response models in R
Hierarchical dose-response models in R
U.S EPA Benchmark Dose Modeling Software (BMDS)
An R package to fit Bayesian model averaging of (possibly longitudinal) dose-response models.
Refactored version of the drc package, a framework for fitting and analyzing dose–response models. This repository restructures the codebase to improve maintainability, transparency, and future development.
Biological effects and equivalent doses in radiotherapy: A software solution
tidy modelling of dose-response relationships with the drc package
Analysis of Ecotoxicology
Example R scripts to create a dose-response curve and extract ECx-values.
A Python module for analysis and visualization of dose-response data
MATLAB-based toolkit for radiation dose-response analysis, including data validation, model selection, curve fitting, and dose inversion. Supports multiple survival fraction models (L, Q, LQ, LQC, LQL).
This project aims to better understand how ketamine affects consciousness. It investigates markers of ego dissolution and dose-response relationships. Several subsequent studies will probably be published based on this project.
This repository contains the raw data and R scripts for "Quantification of an Adverse Outcome Pathway network by Bayesian regression and Bayesian network modeling" by Moe et al. 2020, Integr Environ Assess Manag, doi:10.1002/ieam.4348.
EXPORT: Explainable VAE for ordinally perturbed transcriptomics data
R package to work with qPCR quantification of (bulk) aneuploidies.
A Python library for building, summarizing, and fitting dose-response models
GATE PET model for voxel-wise Dosimetry in Radiouclide Theraphy namely in Radioembolization
Optimal dose design & MED identification using PopED, Emax modelling, and Monte Carlo simulation in R program
Postdoctoral Researcher in Pharmacometrics
The BMDS User Guide
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