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C McMahan

Biographic Data

ID10200119
NAMEC McMahan
GIVEN NAMESC
FAMILY NAMEMcMahan
SIGNATUREMCMAHAN C
AFFILIATIONSClemson University
VERIFIEDNo
TOTAL WORKS1
TOTAL CITATIONS0
WORKS AS AUTHOR1
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2026
LATEST PUBLICATION YEAR2026
H-INDEX0
  • Bayesian Machine Learning Tools for Alcohol Use Disorder Research

    Open Access•James W Baurley, Carolyn M Ervin et al.•ARTICLE•Multivariate Behavioral Research•2026

    Alcohol use disorder (AUD) research faces significant challenges in capturing individual heterogeneity and complex temporal patterns in drinking behaviors. Standard statistical methods fail to account for within-person variability and between-person differences, while existing machine learning algorithms are not designed for hierarchical, longitudinal data structures common in AUD research. We developed a comprehensive R package implementing 30 B…

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  • Bayesian Machine Learning Tools for Alcohol Use Disorder Research

    Open Access•James W Baurley, Carolyn M Ervin et al.•ARTICLE•Multivariate Behavioral Research•2026

    Alcohol use disorder (AUD) research faces significant challenges in capturing individual heterogeneity and complex temporal patterns in drinking behaviors. Standard statistical methods fail to account for within-person variability and between-person differences, while existing machine learning algorithms are not designed for hierarchical, longitudinal data structures common in AUD research. We developed a comprehensive R package implementing 30 B…

Alcohol consumption (1 work) · Alcohol use disorder (1 work) · Bayesian Methods and Mixture Models (1 work) · Bayesian network (1 work) · Bayesian probability (1 work) · Correlation (1 work) · Key (lock) (1 work) · Mental Health Research Topics (1 work) · Odds (1 work) · Range (aeronautics) (1 work)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae