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
An R package to fit Bayesian model averaging of (possibly longitudinal) dose-response models.
tidy modelling of dose-response relationships with the drc package
Analysis of Ecotoxicology
Biological effects and equivalent doses in radiotherapy: A software solution
Example R scripts to create a dose-response curve and extract ECx-values.
U.S EPA Benchmark Dose Modeling Software (BMDS)
A Python module for analysis and visualization of dose-response data
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
The BMDS User Guide
Postdoctoral Researcher in Pharmacometrics
A Python library for building, summarizing, and fitting dose-response models
Library for Dose-Response modeling in Python
R package to work with qPCR quantification of (bulk) aneuploidies.
Trimmed Spearman-Karber Method
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.
Se Yoon Lee, Alain Munafo, Pascal Girard, Kosalaram Goteti, "Optimization of dose selection using multiple surrogates of toxicity as a continuous variable in Phase I cancer trial", Contemporary Clinical Trials (2022) [IMPACT FACTOR: 2.226]
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