Subgroup Identification Based on Quantitative Objectives
Description
A subgroup identification method for precision medicine based on
quantitative objectives. This method can handle continuous, binary and
survival endpoint for both prognostic and predictive case. For the
predictive case, the method aims at identifying a subgroup for which
treatment is better than control by at least a pre-specified or
auto-selected constant. For the prognostic case, the method aims at
identifying a subgroup that is at least better than a
pre-specified/auto-selected constant. The derived signature is a linear
combination of predictors, and the selected subgroup are subjects with
the signature > 0. The false discover rate when no true subgroup exists
is controlled at a user-specified level.