Author

Paul Nelson

University of ArizonaORCID 0000-0003-4453-9895Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Approach:statistical model· 1

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Daniel PromislowiD· 1 shared Joanna MaseliD· 1 shared

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2019-2019 · peak 1/yr

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1 shared paperBioinformatics

Daniel PromislowORCID

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1 paper

Recent·Most cited

BioinformaticsThe Journals of Gerontology Series APeer-reviewedJul 29, 2019

Biomarkers for aging identified in cross-sectional studies tend to be non-causative

Paul Nelson, Daniel Promislow, Joanna Masel

This study shows cross-sectional aging biomarker studies are biased toward non-causal factors, but this bias can be corrected using mortality correlates from longitudinal studies.

65 citations

statistical modelbenchmarking

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