Refreshed my rusty calculus skills lately! 🤓 Finally understand what happens during complete separation and why those coefficient SE get so extreme. The math behind maximum likelihood estimation makes more sense now! Chain rule, quotient rule, matrix inversion are crucial!
In my simulations of Response Adaptive Randomization, I discovered it performs comparably to fixed 50-50 allocation in identifying treatment effects. The adaptive approach does appear to work! However, with only 10 trials, I’ve merely scratched the surface. Important limitations exist - temporal bias risks, statistical inefficiency, and complex multiplicity adjustments in Bayesian frameworks.
RSQLite With DBI: A Note To MyselfI messed around with DBI and RSQLite and learned it’s actually pretty simple to use in R - just connect, write tables, and use SQL queries without all the complicated server stuff. Thanks to Alec Wong for suggesting this!
Plumber and JavaScriptTried out plumber and a bit of JavaScript to build a simple local API for logging migraine events 🧠💻. Just a quick tap on my phone now records the time to a CSV—pretty handy! 📱✅
Setting up the Raspberry Pi with a BMP180 sensor to track barometric pressure was easier than I expected, even with a bit of soldering required. This is a note for myself about the Python code that does all the heavy lifting while my little DIY weather station quietly logs atmospheric data every hour.