simulation
regression
bias
model selection
Using the same dataset for variable selection, parameter estimation, and inference invalidates classical guarantees. I use simulations to show how post-selection sampling distributions become distorted, and identify the conditions—noise, sample size, and predictor correlation—that make things worse.