Chris Holmes
Professors of Biostatistics in Genomics
I have a broad interest in the theory, methods and applications of statistics and statistical modelling. My background and beliefs lie in Bayesian statistics which provides a unified framework to stochastic modelling and information processing. I am particularly interested in pattern recognition and nonlinear, nonparametric methods.
Recent publications
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To do no harm - and the most good - with AI in health care.
Journal article
Goldberg CB. et al, (2024), Nature medicine
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[Guidelines for clinical trial protocols for interventions involving artificial intelligence: the SPIRIT-AI extensionDiretrizes para protocolos de ensaios clínicos com intervenções que utilizam inteligência artificial: a extensão SPIRIT-AI].
Journal article
Cruz Rivera S. et al, (2024), Revista panamericana de salud publica = Pan American journal of public health, 48
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[Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI extensionDiretrizes para relatórios de ensaios clínicos com intervenções que utilizam inteligência artificial: a extensão CONSORT-AI].
Journal article
Liu X. et al, (2024), Revista panamericana de salud publica = Pan American journal of public health, 48
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Audio-based AI classifiers show no evidence of improved COVID-19 screening over simple symptoms checkers
Journal article
Coppock H. et al, (2024), Nature Machine Intelligence
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Where Medical Statistics Meets Artificial Intelligence. Reply.
Journal article
Hunter DJ. and Holmes C., (2023), N Engl J Med, 389, 2403 - 2404