[I reworded this post]
There's a lot of information on calculating sample sizes on proportion changes using a power analysis. That makes sense to me. But is it any different if I am calculating sample size for a bivariate LPM model? Like, if I wanted to run a model of Death(0, 1) = beta * Treatment + epsilon, what would I do to calculate power? Would I use the proportions technique? It would help if you illustrated an example either using G*Power or -power- Stata.
(Before it gets mentioned, I come from economics, where linear probability models are more conventional than logistic models)