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...|
Transparency in public health messaging matters. Hannah Mendoza and I looked at how providing transparent information about why a public health recommendation is being made can increase uptake in a randomized trial published today in Plos One What did we do? We conducted a randomized controlled trial to assess whether disclosing elements of uncertainty in an initial public health statement will change the likelihood that participants will accept new, different advice that arises as more evide...|