Author

Maxwell J. Reynolds

University of PittsburghORCID 0000-0002-2888-9759Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:batch correction / integration· 1 Approach:Bayesian inference· 1 Research Focus:benchmarking· 1 Assay:imaging· 1 Approach:statistical model· 1

Frequent Co-Authors

Dana TudorascuiD· 1 shared Kayhan N. BatmanghelichiD· 1 shared Mahbaneh Eshaghzadeh TorbatiiD· 1 shared the Alzheimer’s Disease Neuroimaging Initiative· 1 shared Tigmanshu Chaudhary· 1 shared

Activity by Year

2023-2023 · peak 1/yr

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5 top collaborators · 10 mutual co-author links

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1 shared paperNeuroscience

Dana TudorascuORCID

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1 paper

Recent·Most cited

ComBat Harmonization: Empirical Bayes versus Fully Bayes Approaches

Maxwell J. Reynolds, Tigmanshu Chaudhary, Mahbaneh Eshaghzadeh Torbati, Dana Tudorascu, Kayhan N. Batmanghelich, the Alzheimer’s Disease Neuroimaging Initiative

This paper compares empirical Bayes and fully Bayesian approaches for harmonizing neuroimaging data, finding empirical Bayes more efficient but underestimating uncertainty, while fully Bayesian better preserves biological information.

NeuroImage Clinical · Jan 1, 2023Peer-reviewedNeuroscience