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arXiv · 2608.21782

Inferential Validity of Digital Health Measures

Carmen D. Tekwe·Mercy Oladuti·Yuanyuan Luan·Andi Mai·Orfeu M. Buxton·See Ling Loy·Jeffrey S. Gonzalez·Roger S. Zoh
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Abstract

Digital health measures increasingly inform treatment evaluation, risk classification, clinical monitoring, and regulatory decisions. Existing validity concepts concern a measure's technical soundness, clinical meaningfulness, usability, and scalability. Inferential validity concerns how well a measure supports a scientific, clinical, or regulatory conclusion. We propose assessing inferential validity as a downstream evaluation layer that links measurement system evidence to trustworthy conclusions.

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Carmen D. Tekwe, Mercy Oladuti, Yuanyuan Luan, Andi Mai, Orfeu M. Buxton, See Ling Loy, Jeffrey S. Gonzalez, Roger S. Zoh. 2026-08-22. Inferential Validity of Digital Health Measures. https://arxiv.org/abs/2608.21782

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