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SimpleChains.jl
Simple chainsQuartoNotebookRunner.jl
Bayesian-Workshop
Slides for Bayesian Workshops across the worldWriteDocx.jl
A Julia package to create docx files for Microsoft Word from scratchsensitivity_analysis_paper
WCoP2022_Pumas_Workshop
add-private-registry
This GitHub Action adds a private Julia package registry from a Pkg ServerACoP13_NLME_Workshop
Pumas NLME workshop material for ACoP 13nm_highlighter
Pumas_Workshop_Tokyo_2022
Pumas workshop for our friends in Japan.PackageBundler.jl
Experimental bundling of Julia packages and environments.Optimal-Design-Workshop
Workshop for Optimal Design in Pumas - Slides and CodeGit-Tutorial
Temporary Git Repository for a Git/GiHub WorkshopMBDD-MCC-135
The sample size calculation using modeling & simulation approach is considered to be more efficient than conventional modeling. The proposal is to compare the power of defining the exposure-response, and thereby establishing efficacy, using model-based approaches. Specifically, a base exposure-IGA score (ordinal scale) relationship will be assumed. Data will be simulated and subjected to conventional and model-based analyses. The model-based approach can test single-point (end of the study) and longitudinal models. The power of the two approaches will be compared. The process will be repeated for different ‘what-if’ scenarios from the base model. Several details of the simulations are provided by MTPC during the exploratory meeting.Love Open Source and this site? Check out how you can help us