Introduction to structural causal modelling
Institute for Marine and Antarctic Studies, University of Tasmania, Australia 2023-06-30 1 Introduction 1.1 What you need This is a workshop on structural causal modelling. It is designed to be run alone, or paired with a course on generalized linear models. It is designed to take about 1/2 a day to teach. The examples are drawn from ecology and conservation science, but the theory is applicable t
Interpretable Segmentation of Medical Free-Text Records Based on Word Embeddings | R-bloggers
R-bloggers R news and tutorials contributed by hundreds of R bloggers [This article was first published on R in ResponsibleML on Medium, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don't. Is it possible to derive useful and interpretable information from sho
Simulating COVID-19 interventions with R
Tim Churches is a Senior Research Fellow at the UNSW Medicine South Western Sydney Clinical School at Liverpool Hospital, and a health data scientist at the Ingham Institute for Applied Medical Research. This post examines simulation of COVID-19 spread using R, and how such simulations can be used to understand the effects of various public health interventions design to limit or slow its spread.
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Thierry Moudiki's webpage
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