Christopher S. McMahan

Clemson University — United States

Medicine · Health Sciences

25h-index2.0kcitations151works1.32yr avg
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Research Topics

SARS-CoV-2 detection and testing(43), Crop Yield and Soil Fertility(22), Biosensors and Analytical Detection(19), Statistical Methods and Inference(17), Advanced biosensing and bioanalysis techniques(13)

Publications151 total

High-density Phenotype Data of Intermediate Phenotypes Associated with Stalk Lodging Resistance in Maize
Scientific Data·2025Open Access
Gradient boosting for group testing
Machine Learning with Applications·2025Open Access
Assessing Simultaneous Infection with Multiple Pathogens via Group Testing with Imperfect Multiplex Assays
Journal of Agricultural Biological and Environmental Statistics·2025Open Access
Salience Network Connectivity Predicts Response to Repetitive Transcranial Magnetic Stimulation in Smoking Cessation: A Preliminary Machine Learning Study
Brain Connectivity·2025
Genomic prediction of stalk lodging resistance and the associated intermediate phenotypes in maize using whole‐genome resequence and multi‐environmental data
The Plant Genome·2025Open Access
Temporal analysis of physiological phenotypes identifies metabolic and genetic underpinnings of senescence in maize
The Plant Cell·2025
Alcohol drinking is associated with greater calcium activity in mouse central amygdala dynorphin-expressing neurons
Progress in Neuro-Psychopharmacology and Biological Psychiatry·2025· 1 citedOpen Access
Granular Insights:A Wastewater-Based Machine Learning Approach for Localized COVID-19 Hospitalization Forecasting
2025· 1 citedOpen Access
Machine Learning and Probabilistic Approaches for Forecasting Infectious Disease Transmission and Cases
2025Open Access
Genomic prediction of stalk lodging resistance and the associated intermediate phenotypes in maize using whole-genome resequence and multi-environmental data
2025· 1 citedOpen Access
Machine learning approaches for real-time ZIP code and county-level estimation of state-wide infectious disease hospitalizations using local health system data
Epidemics·2025· 3 citedOpen Access
High Density Phenotypic Map of Natural Variation for Intermediate Phenotypes Associated with Stalk Lodging Resistance in Maize
2025Open Access
Heart rate variability derangements in dogs with Chagas disease: a potential indicator of autonomic and cardiac disruption
Journal of the American Veterinary Medical Association·2025· 1 citedOpen Access
A flexible framework for local-level estimation of the effective reproductive number in geographic regions with sparse data
BMC Medical Research Methodology·2025· 1 citedOpen Access
Bayesian Additive Regression Trees for Group Testing Data
Statistics in Medicine·2025Open Access
Temporal analysis of physiological phenotypes identifies novel metabolic and genetic underpinnings of senescence in maize
2025· 2 citedOpen Access
An Efficient Statistical Inference Approach for Model Calibration Using Griddy Gibbs Sampling
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part B Mechanical Engineering·2025· 1 cited
A mixed-effects Bayesian regression model for multivariate group testing data
Biometrics·2025
Probit Time-to-Event Regression for Misclassified Group Testing Data
Statistica Sinica·2024Open Access
A Flexible Framework for Local-Level Estimation of the Effective Reproductive Number in Geographic Regions with Sparse Data
2024· 1 citedOpen Access
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Frequent Co-authors

Joshua M. Tebbs(13), Christopher R. Bilder(12), Michael J. Yabsley(10), Shila K. Nordone(8), Robert Lund(8), Daniel J. Robertson(7), Jenna R. Gettings(7), Christopher J. Stubbs(6), Lior Rennert(6), Yan Liu(6), Rajandeep S. Sekhon(5), Stella Self(5), Chase Joyner(4), Douglas D. Cook(4), Corey A. Kalbaugh(4), Bens Pardamean(4), James W. Baurley(4), Lianming Wang(3), Bharath Kunduru(3), Delphine Dean(3)