I created a little Shiny application to demonstrate that Neural Networks are just souped up linear models: https://lucy.shinyapps.io/neural-net-linear/ This application has a neural network fit to a dataset with one predictor, x, and one outcome, y. The network has one hidden layer with three activations. You can click a “Play” button to watch how the neural network fits across 300 epochs. You can also click on the nodes of the neural network diagram to highlight each of the individual ac...|
On this weeks episode of Casual Inference we talk about a “Causal Quartet” a set of four datasets generated under different mechanisms, all with the same statistical summaries (including visualizations!) but different true causal effects. The figures and tables are from our recent preprint: https://arxiv.org/pdf/2304.02683.pdf Given a single dataset with 3 variables: exposure, outcome and covariate (z) how can statistics help you decide whether to adjust for z? It can’t! For example her...|