Direct utility of natural history data in analysis of clinical trials: Propensity match-based analysis of Omaveloxolone in Friedreich ataxia using the FA-COMS dataset

David Lynch, Angie Goldsberry, Christian Rummey, Jennifer Farmer, Sylvia Boesch, martin delatycki, Paola Giunti, j chad Hoyle, Caterina Mariotti, Katherine Mathews, Susan Perlman, SH Subramony, George Wilmot, Theresa Zesiwiecz, Lisa Weissfeld, Colin Meyer medRxiv 2022.08.12.22278684; doi: 10.1101/2022.08.12.22278684 

These results suggest a clinically meaningful slowing of FRDA progression with omaveloxolone, and consequently details how propensity-matched analysis contributes to the understanding of the effects of therapeutic agents. This demonstrates the direct value of natural history studies in the evaluation of clinical trials.

Direct utility of natural history data in analysis of clinical trials: Propensity match-based analysis of Omaveloxolone in Friedreich ataxia using the FA-COMS dataset