Erik Westlund

@erikwestlund.bsky.social

Associate Scientist, Johns Hopkins Department of Biostatistics, joint with JHU School of Medicine. I do/teach data science, applied stats, and software engineering in public health, medicine, bioinformatics, and social science. History major, PhD in HTML.

Richard's point (here & in his lectures) about the causes of data is so important. I've thought about it on every project since. The ref'd paper is great both for its argument & for being a great example of statistical writing that is technical but not overwhelming for non-math-stats types (like me)

Richard McElreath 🐈‍⬛@rmcelreath.bsky.social · 4w ago

Modeling non-response is an example I like to use when arguing that "descriptive" statistics also require causal inference. To describe the population, you have to model what causes the sample. Similar to occupancy modeling in ecology in many ways.