A comparative evaluation of sufficient dimension reduction and traditional statistical methods for composite biomarker score construction in diagnostic classification

SDR methods combined with likelihood-based scoring show potential for a relatively robust and interpretable framework in the context of this paper. They are particularly advantageous in settings with complex diagnostic structures, while maintaining competitiveness in well-structured data. These findings support the use of SDR methods as practical tools for combining biomarkers in precision medicine.