MIC*: A framework for interpretable analysis of ordinal viability data
Published in bioRxiv (preprint), 2025
Recommended citation: **Stacy, C. L.**, Lenaduwe, S., Stuecker, T. N., & Lewis, J. A. (2025). *MIC\*: A framework for interpretable analysis of ordinal viability data.* **bioRxiv**. doi:10.1101/2025.10.13.682067 https://doi.org/10.1101/2025.10.13.682067
First-author preprint introducing MIC*, an ordinal-regression framework for viability and growth-inhibition assays. Proportional-odds models with biologically scaled thresholds replace ad hoc MIC cutoffs with an interpretable estimator and delta-method uncertainty. Companion tools: the ordinalMIC R package, the MICalculator web app, and BLISS for blinded scoring.
