Nonparametric regression with responses missing at random

► Nonparametric regression with missing responses is considered. ► Sharp-minimax lower bound for mean integrated squared error is established. ► A data-driven adaptive estimator of nonparametric regression is proposed. ► Knowing a complete-case subsample is sufficient for sharp-minimax estimation.