We described a multi-wave adaptive sampling approach to approximate the optimal two-phase design for fitting a regression model using design-based estimators. The prior knowledge of parameters and phase-1 **data** combine to be usable to approximate the optimal wave 1, so we use the whole cohort information at the design stage even before phase-2 sampling. With reasonable well-calibrated priors, the efficiency of the proposed design is very close to the underlying optimal design.