Refereed Publications
2024
105.
Rinker, J., Hoffman, M., Knapp, J., Wukitsch, T., Kutlu, M., Calipari, E., McMahan, C., Baker, H., Woodward, J., and Mulholland, P.
(2024)
Prelimbic Neuron Calcium Activity Predicts Perceived Hedonic Value Across Drinking Solutions and Ethanol Dependent States in Mice.
Neuropsychopharmacology.
104.
Ahammed, T., Hossain, S., McMahan, C., and Rennert, L.
(2024)
Estimating State-Wide COVID-19 Hospitalizations Using Local Health System Data: A Machine Learning Approach.
Epidemics.
103.
Hossain, S., Goyal, R., Martin, N., DeGruttola, V., Chowdhury, M., McMahan, C., and Rennert, L.
(2024)
Small Area Estimation of the Effective Reproductive Number with Sparse Data.
PLOS Computational Biology.
102.
Wright, S., Stewart, H., Sharma, S., Redmond, L., McMahan, C., and Castanier, M.
(2024)
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.
101.
Machado e Silva, C.†, Kunduru, B.†, Bokoros, N.†, Tabaracci, K.†, Brar, M., Kumar, R., Nardino, M., McMahan, C., Debolt, S., Robertson, D., Sekhon, R., and Morota, G.
(2024)
Genomic Prediction of Stalk Lodging Resistance and the Associated Intermediate Phenotypes in Maize Using Whole-Genome Sequence and Multi-Environmental Data.
None.
100.
McMahan, C., Joyner, C.⋆, Tebbs, J., and Bilder, C.
(2024)
A Mixed Effects Bayesian Regression Model for Multivariate Group Testing Data.
Biometrics.
99.
Bilder, C., Hitt, B.†, Schaarschmidt, F., Biggerstaff, B., Tebbs, J., and McMahan, C.
(2024)
binGroup2: Statistical Tools for Infection Identification via Group Testing.
R Journal.
98.
Napolitano, J., Srikanth, S., Noorai, R., Wilson, S., Williams, K., Rosales-Garcia, R., Krueger, B., Emerson, C., Parker, S., Pruitt, J., Dango, R., Iyer, L., Shafi, A., Jayawardena, I., Parkinson, C., McMahan, C., Rennert, L., Peng, C., and Dean, D.
(2024)
SARS-CoV-2 Variant Introduction Following Spring Break Travel and Transmission Mitigation Strategies.
PLOS.
97.
Dyckman, C., McMahan, C., Overby, A., Fouch, N.†, Ogletree, S.†, Self, S., White, D., Lauria, M., and Baldwin, R.
(2024)
Unpacking Conservation Easements’ Assessed Land Use Designations and Their Implications for Realizing Biodiversity Protection.
Conservation Science and Practice.
96.
Bokros, N.†, Woomer, J., Schroder, Z., Kunduru, B.†, Brar, M., Seegmiller, J., McMahan, C., Robertson, D., Sekhon, R., and DeBolt, S.
(2024)
Sorghum bicolor L. Stalk Stiffness is Marginally Affected by Time of Day Under Field Conditions.
Agriculture.
95.
Huang, R., McMahan, C., Herrin, B., McLain, A., Cai, B., and Self, S.
(2024)
A Computationally Efficient Alternative to Markov Chain Monte Carlo Sampling for Fitting Large Bayesian Spatio-Temporal Binomial Regression Models.
Infectious Disease Modelling.
94.
McMahan, C., Joyner, C.⋆, Tebbs, J., and Bilder, C.
(2024)
A Mixed Effects Bayesian Regression Model for Multivariate Group Testing Data.
Biometrics.
93.
St. Ville, M.⋆, McMahan, C., Bible, J., Tebbs, J., and Bilder, C.
(2024)
Bayesian Additive Regression Trees for Group Testing Data.
Statistics in Medicine.
92.
Fang, L., Hu, T., Li, S., Wang, L., McMahan, C., and Tebbs, J.
(2024)
Probit Time-to-Event Regression for Misclassified Group Testing Data.
Statistica Sinica.
91.
Bergen, A., Ervin, C., McMahan, C., Baurley, J., Javitz, H. et al.
(2024)
Smoking, Race, Ancestry and Prospective Abstinence.
Nicotine and Tobacco Research.
90.
Gregory, K., and McMahan, C.
(2024)
Combining Data Sets for Semiparametric Additive Modeling.
Statistical Methods in Medical Research.
89.
Self, S., Yang, Y.⋆, Walden, H., Yabsley, M., McMahan, C., and Herrin, B.
(2024)
A Nowcast Model to Predict Flea Activity in Real Time for the Contiguous United States.
Parasites and Vectors, 17, 27.
88.
Yang, Y.⋆, McMahan, C., Wang, Y., and Ouyang, Y.
(2024)
Estimation of l0 Norm Penalized Models: A Statistical Treatment.
Computational Statistics in Data Analysis, 192, 107902.
87.
Li, S., Hu, T., Wang, L., McMahan, C., and Tebbs, J.
(2024)
Regression Analysis of Group-Tested Current Status Data.
Biometrika, asae006.
86.
McCourt, K.†, Sautter, G., Vanegas, D., McMahan, C., Lee, C., Carraway, E., and Velez-Torres, I.
(2024)
Participatory Assessment of Pollution and Health Risk in Artisanal and Small-Scale Gold Mining Communities in Colombia.
Groundwater for Sustainable Development, 25, 101158.
2023
85.
Rennert, L., Ma, Z.‡, McMahan, C., and Dean, D.
(2023)
Covid-19 Vaccine Effectiveness Against General SARS-CoV-2 Infection from the Omicron Variant: A Retrospective Cohort Study.
PLOS Global Public Health, 3, e0001111.
84.
Withana Gamage, P., McMahan, C., and Wang, L.
(2023)
A Flexible Parametric Approach for Analyzing Arbitrarily Censored Data That Are Potentially Subject to Left Truncation Under the Proportional Hazards Model.
Lifetime Data Analysis, 29, 188-212.
83.
Warasi, S., Tebbs, J., McMahan, C., and Bilder, C.
(2023)
Estimating the Prevalence of Two or More Diseases Using Outcomes from Multiplex Group Testing.
Biometrical Journal, 65, 22200270.
82.
Stubbs, C., McMahan, C., Porter, J., Bokros, N.†, Verges, V., Kunduru, B.†, Cook, D., Sekhon, R., DeBolt, S., and Robertson, D.
(2023)
Moving Toward Short Stature Maize: The Effect of Plant Height on Maize Stalk Lodging Resistance.
Plant Methods, 300, 109008.
81.
Kumar, R., Singh Brar, M., Kunduru, B.†, Yang, Y.†, Luo, F., Saski, C., Bridges, W., McMahan, C., Leon, N., Kaeppler, S., and Sekhon, R.
(2023)
Genetic Architecture of Source-Sink Regulated Senescence in Maize.
Plant Physiology, 4, 2459-2479.
80.
Mulholland, P., Berto, S., Wilmarth, P., McMahan, C., Ball, L., and Woodward, J.
(2023)
Adaptor Protein Complex 2 in the Orbitofrontal Cortex Predicts Alcohol Use Disorder.
Molecular Psychiatry, 1-11.
79.
Witkiewitz, K., Kirouac, M., Baurley, J., and McMahan, C.
(2023)
Patterns of Drinking Behavior Around a Treatment Episode for Alcohol Use Disorder: Predictions from Pre-Treatment Measures.
Alcohol Clinical and Experimental Research, 11, 2138-2148.
78.
Yang, Y.⋆, McMahan, C., Wang, Y., Baurley, J., and Park, S.
(2023)
SIGHR: Side Information Guided High-Dimensional Regression.
Statistical Methods in Medical Research, 11, 2270-2282.
77.
Gettings, J., McMahan, C., Cleveland, C., Varela-Stokes, A., Hubbard, S., Walden, H., and Yabsley, M.
(2023)
Association Between Vector-Borne Pathogen Seroprevalence in Shelter-Housed and Owned Dog Populations in the Contiguous United States.
Parasites and Vectors, 1, 405.
76.
Kunduru, B.†, Kumar, R., Brar, M., Stubbs, C., Tabaracci, K., Bokros, N.†, Bridges, W., Cook, D., DeBolt, S., McMahan, C., Robertson, D., and Sekhon, R.
(2023)
Unveiling the Phenotypic Landscape of Stalk Lodging Resistance in Diverse Maize Hybrids.
Field Crops Research, 304, 109168.
2022
75.
Stubbs, C., McMahan, C., Tabaracci, K.†, Kunduru, B.†, Sekhon, R., and Robertson, D.
(2022)
Cross-Sectional Geometry Predicts Failure Location in Maize Stalks.
Plant Methods, 18.
74.
Bergen, A., Baurley, J., Ervin, C., McMahan, C., Bible, J., Stafford, R., Mudumbai, S., and Saxon, A.
(2022)
Effects of Buprenorphine Dose and Therapeutic Engagement on Illicit Opiate Use in Opioid Use Disorder Treatment Trials.
International Journal of Environmental Research and Public Health, 18, 4106.
73.
Baurley, J., Claus, E., Witkiewitz, K., and McMahan, C., Stafford, R., Mudumbai, S., and Saxon, A.
(2022)
A Bayesian Mixed Effects Support Vector Machine for Learning and Predicting Daily Substance Use Disorder Patterns.
The American Journal of Drug and Alcohol Abuse, 1-9.
72.
Rennert, L. and McMahan, C.
(2022)
Risk of SARS-CoV-2 Reinfection in a University Population.
Clinical Infectious Diseases, 74, 719-722.
71.
Rennert, L., Ma, Z.‡, McMahan, C., and Dean, D.
(2022)
Effectiveness and Protection Duration of Covid-19 Vaccines and Previous Infection Against Any SARS-CoV-2 Infection in Young Adults.
Nature Communications, 13, 3946.
70.
Baurley, J., Bergen, A., Ervin, C., Park, S., Murphy, S., and McMahan, C.
(2022)
Predicting Nicotine Metabolism Across Ancestries Using Genotypes.
BMC Genomics, 23.
69.
Self, S., McMahan, C., and Mokalled, S.
(2022)
Capturing the Pool Dilution Effect in Group Testing Regression: A Bayesian Approach.
Statistics in Medicine, 41, 4682-4696.
68.
McMahan, C., Lewis, D., Deaver, J.†, Dean, D., Rennert, L., Kalbaugh, C., Kriebel, D., Graves, D., Popat, S., Karanfil, T., and Freedman, D.
(2022)
Predicting COVID-19 Infected Individuals in a Defined Population from Wastewater RNA Data.
ACS ES&T Water, 2, 2225-2232.
67.
Mokalled, S.⋆, Locke, W.†, Abuodeh, O.†, Redmond, L., and McMahan, C.
(2022)
Drive-by Health Monitoring of Highway Bridges Using Bayesian Estimation Technique for Damage Classification.
Structural Control and Health Monitoring, 29, e2944.
66.
St. Ville, M.⋆, Bergen, A., Baurley, J., Bible, J., and McMahan, C.
(2022)
Assessing Opioid Use Disorder Treatments in Trials Subject to Non-Adherence via a Functional Generalized Linear Mixed Effects Model.
International Journal of Environmental Research and Public Health, 19, 5456.
65.
Brown, A., McMahan, C., Shinohara, R., and Linn, K.
(2022)
Bayesian Spatial Binary Regression for Label Fusion in Structural Neuroimaging.
Journal of the American Statistical Association, 117, 547-560.
2021
64.
Brown, D., McMahan, C., and Watson, S.⋆
(2021)
Sampling Strategies for Fast Updating of Gaussian Markov Random Fields.
The American Statistician, 75, 52-65.
63.
Liu, Y.⋆, Lu, M., and McMahan, C.
(2021)
A Penalized Likelihood Approach for Efficiently Estimating a Partially Linear Additive Transformation Model with Current Status Data.
Electronic Journal of Statistics, 15, 2247-2287.
62.
Yusuf, I., Miskad, U., Lusikooy, R., Arsyad, A., Irwan, A., Mathew, G., Suriapranata, I., Kusuma, R., Pardamean, B., Kacamarga, M., Budiarto, A., Cenggoro, T., Pardamean, C., McMahan, C., Joyner, C.⋆, and Baurley, J.
(2021)
Genetic Risk Factors for Colorectal Cancer in Multiethnic Indonesians.
Scientific Reports, 11.
61.
Bilder, C., Tebbs, J., and McMahan, C.
(2021)
Discussion on 'Is Group Testing Ready for Prime-Time in Disease Identification'.
Statistics in Medicine, 40, 3881-3886.
60.
Rennert, L., Kalbaugh, C., McMahan, C., Shi, L., and Colenda, C.
(2021)
The Impact of Phased University Reopenings on Mitigating the Spread of COVID-19: A Modeling Study.
BMC Public Health, 21.
59.
Rennert, L., McMahan, C., Kalbaugh, C., Yang, Y.⋆, Lumsden, B.⋆, Dean, D., Pekarek, L., and Colenda, C.
(2021)
Surveillance-Based Informative Testing for Detection and Containment of SARS-CoV-2 Outbreaks on a Rural Public University Campus.
The Lancet Child & Adolescent Health, 5, 428-436.
58.
Mokalled, S.⋆, McMahan, C., Tebbs, J., Brown, A., and Bilder, C.
(2021)
Incorporating the Dilution Effect in Group Testing Regression.
Statistics in Medicine, 40, 2540-2555.
57.
Watson Self, S.⋆, McMahan, C., and Russell, B.
(2021)
Identifying Meteorological Drivers of PM2.5 Levels via a Bayesian Spatial Quantile Regression.
Environmetrics, 32, e2669.
56.
Liu, Y.⋆, McMahan, C., Gallagher, C., Tebbs, J., and Bilder, C.
(2021)
Bayesian Generalized Additive Regression for Group Testing Data.
Biostatistics, 22, 873-889.
55.
Bergen, A., McMahan, C., McGee, S.†, Ervin, C., Tindle, H., Marchand, L., Stram, D., Murphy, S., Stram, D., Patel, Y., Park, S., Baurley, J.
(2021)
Multiethnic Prediction of Nicotine Biomarkers and Association with Nicotine Dependence.
Nicotine & Tobacco Research, 23, 2162-2169.
54.
Robertson, D., Cornwall, J.†, Stubbs, C., and McMahan, C.
(2021)
The Overlooked Biomechanical Role of the Clasping Leaf Sheath in Wheat Stem Lodging.
Frontiers in Plant Science, 12.
53.
Karambizi, N.†, McMahan, C., and Temesvari, L.
(2021)
Global Estimated Disability-Adjusted Life-Years (DALYs) of Diarrhoeal Diseases: A Systematic Analysis of Data from 28 Years of the Global Burden of Disease Study.
PLoS, 16, e0259077.
52.
Bilder, C., Tebbs, J., and McMahan, C.
(2021)
Informative Array Testing with Multiplex Assays.
Statistics in Medicine, 40, 3021-3034.
51.
McMahan, C., Self, S., Rennert, L., Kalbaugh, C., Kriebel, D., Graves, D., Deaver, J.†, Popat, S., Karanfil, T., Freedman, D.
(2021)
COVID-19 Wastewater Epidemiology: A Model to Estimate Infected Populations.
The Lancet Planetary Health, 5, e874-e881.
2020
50.
Withana Gamage, P.⋆, Chaudhari, M.†, McMahan, C., and Kosorok, M.
(2020)
An Extended Proportional Hazards Model for Interval-Censored Data Subject to Instantaneous Failures.
Lifetime Data Analysis, 26, 158-182.
49.
Joyner, C.⋆, McMahan, C., Baurley, J., and Pardamean, B.
(2020)
A Two-Phase Bayesian Methodology for the Analysis of Binary Phenotypes in Genome-Wide Association Studies.
Biometrical Journal, 62, 191-201.
48.
Sekhon, R., Joyner, C.⋆, Ackerman, A.†, McMahan, C., Cook, D., and Robertson, D.
(2020)
Stalk Bending Strength is Strongly Associated with Maize Stalk Lodging Incidence Across Multiple Environments.
Field Crops Research, 249.
47.
Gettings, J.‡, Watson Self, S.⋆, McMahan, C., Brown, A., Nordone, S., and Yabsley, M.
(2020)
Local and Regional Temporal Trends (2013–2019) of Canine Ehrlichia spp. Seroprevalence in the USA.
Parasites and Vectors, 12.
46.
Hou, P.†, Tebbs, J., Wang, D., McMahan, C., and Bilder, C.
(2020)
Array Testing with Multiplex Assays.
Biostatistics, 21, 417-431.
45.
Joyner, C.⋆, McMahan, C., Tebbs, J., and Bilder, C.
(2020)
From Mixed-Effects Modeling to Spike and Slab Variable Selection: A Bayesian Regression Model for Group Testing Data.
Biometrics, 76, 913-923.
44.
Stubbs, C., Seegmiller, K.†, McMahan, C., Sekhon, R., and Robertson, D.
(2020)
Diverse Maize Hybrids are Structurally Inefficient at Resisting Wind Induced Bending Forces that Cause Stalk Lodging.
Plant Methods, 16, 67.
43.
Stubbs, C., McMahan, C., Seegmiller, K.†, Spence, T.†, Cook, D., and Robertson, R.
(2020)
Integrative Puncture Score: Force-Displacement Weighted Rind Penetration Tests Improve Stalk Lodging Resistance Estimations in Maize.
Plant Methods, 16, 113.
42.
Gettings, J.‡, Watson Self, S.⋆, McMahan, C., Brown, A., Nordone, S., and Yabsley, M.
(2020)
Regional Trends of Borrelia burgdorferi and Anaplasma spp. Seroprevalence in Domestic Dogs: Contiguous United States 2013-2019.
Frontiers in Veterinary Science, 7.
41.
Rennert, L., Shi, L., Kalbaugh, C., and McMahan, C.
(2020)
Modelling the Impact of Pre-Semester Testing on COVID-19 Outbreaks in University Campuses.
BMJ Open, e042578.
40.
Bilder, C., Tebbs, J., and McMahan, C.
(2020)
Tests in Short Supply? Try Group Testing.
Significance, 17, 15-16.
2019
39.
Yang, T.⋆, Gallagher, C., and McMahan, C.
(2019)
A Robust Regression Methodology via M-Estimation.
Communications in Statistics, 48, 1092-1107.
38.
Gregory, K., Wang, D., and McMahan, C.
(2019)
Adaptive Elastic Net Regression with Group Testing Data.
Biometrics, 75, 13-23.
37.
Bilder, C., Tebbs, J., and McMahan, C.
(2019)
Informative Group Testing for Multiplex Assays.
Biometrics, 75, 278-288.
36.
Liu, Y.⋆, Nordone, S., Yabsley, M., Meshnick, S., Lund, R., McMahan, C., and Gettings, J.‡
(2019)
Quantifying the Relationship Between Human Lyme Disease and Borrelia burgdorferi Exposure in Domestic Dogs.
Geospatial Health, 14.
35.
Watson Self, S.⋆, Pulaski, C., McMahan, C., Brown, A., Yabsley, M., and Gettings, J.‡
(2019)
Regional and Local Temporal Trends in the Prevalence of Canine Heartworm Infection: 2012-2018.
Parasites and Vectors, 12, 380.
34.
Hitt, B.†, Bilder, C., Tebbs, J., and McMahan, C.
(2019)
The Objective Function Controversy for Group Testing: Much Ado About Nothing?.
Statistics in Medicine, 38, 4912-4923.
33.
Watson Self, S.⋆, Liu, Y.⋆, Nordone, S., Yabsley, M., Stockdale Walde, H., Lund, R., Bowman, D., Carpenter, C., McMahan, C., and Gettings, J.‡
(2019)
Canine Vector-Borne Disease: Mapping and the Accuracy of Forecasting Using Big Data from the Veterinary Community.
Animal Health Research Reviews, 20, 47-60.
2018
32.
Wang, D.⋆, McMahan, C., Tebbs, J., and Bilder, C.
(2018)
Group Testing Case Identification with Biomarker Information.
Computational Statistics and Data Analysis, 122, 156-166.
31.
Baurley, J., McMahan, C., Ervin, C., Pardamean, B., and Bergen, A.
(2018)
Biosignature Discovery for Substance Use Disorders Using Statistical Learning.
Trends in Molecular Medicine, 24, 221-235.
30.
Chaudhari, M.†, Kim, E., Withana Gamage, P.⋆, McMahan, C., and Kosorok, M.
(2018)
Study Design with Staggered Sampling Times for Evaluating Sustained Unresponsiveness to Peanut Sublingual Immunotherapy.
Statistics in Medicine, 37, 3944-3958.
29.
Watson Self, S.⋆, McMahan, C., Brown, D., Lund, R., Gettings, J.‡, and Yabsley, M.
(2018)
A Large Scale Spatio-Temporal Binomial Regression Model for Estimating Seroprevalence Trends.
Environmetrics, 29, e2538.
28.
Lu, M. and McMahan, C.
(2018)
A Partially Linear Proportional Hazards Model for Current Status Data.
Biometrics, 74, 1240-1249.
27.
Withana Gamage, P.⋆, McMahan, C., Wang, L., and Tu, W.
(2018)
A Gamma-Frailty Proportional Hazards Model for Bivariate Interval-Censored Data.
Computational Statistics and Data Analysis, 128, 354-366.
2017
26.
Liu, Y.⋆, McMahan, C., and Gallagher, C.
(2017)
A General Regression Framework for the Regression Analysis of Pooled Biomarker Assessments.
Statistics in Medicine, 36, 2363-2377.
25.
Watson, S.⋆, Liu, Y.⋆, Lund, R., Gettings, J.‡, Nordone, S., McMahan, C., and Yabsley, M.
(2017)
A Bayesian Spatio-Temporal Model for Forecasting the Prevalence of Antibodies to Borrelia burgdorferi, Causative Agent of Lyme Disease, in Domestic Dogs within the Contiguous United States.
PLoS, 12.
24.
Hou, P.†, Tebbs, J., Bilder, C., and McMahan, C.
(2017)
Hierarchical Group Testing for Multiple Infections.
Biometrics, 73, 656-665.
23.
Russell, B., Wang, D., and McMahan, C.
(2017)
Spatially Modeling the Effects of Meteorological Drivers of PM2.5 in the Eastern United States via a Local Linear Penalized Quantile Regression Estimator.
Environmetrics, 28.
22.
Liu, Y.⋆, Watson, S.⋆, Lund, R., Gettings, J.‡, Nordone, S., Yabsley, M., and McMahan, C.
(2017)
A Bayesian Spatio-Temporal Model for Forecasting Anaplasma Species Seroprevalence in Domestic Dogs within the Contiguous United States.
PLoS, 12.
21.
McMahan, C., Tebbs, J., Hanson, T., and Bilder, C.
(2017)
Bayesian Regression Models for Group Testing Data.
Biometrics, 73, 1443-1452.
20.
Warasi, S.†, McMahan, C., Tebbs, J., and Bilder, C.
(2017)
Group Testing Regression Models with Dilution Submodels.
Statistics in Medicine, 36, 4860-4872.
19.
McMahan, C., Baurley, J., Bridges, W., Joyner, C.⋆, Fitra Kacamarga, M., Lund, R., Pardamean, C., and Pardamean, B.
(2017)
A Bayesian Hierarchical Model for Identifying Significant Polygenic Effects while Controlling for Confounding and Repeated Measures.
Statistical Applications in Genetics and Molecular Biology, 16, 407-419.
2016
18.
McMahan, C., Tebbs, J., and Bilder, C.
(2016)
Invited Rejoinder to 'A Note on the Evaluation of Group Testing Algorithms in the Presence of Misclassification'.
Biometrics, 72, 303-304.
17.
Wang, L., McMahan, C., Hudgens, M., and Qureshi, Z.
(2016)
A Flexible, Computationally Efficient Method for Fitting the Proportional Hazards Model to Interval-Censored Data.
Biometrics, 1, 222-231.
16.
McMahan, C., Wang, D.†, Beall, M., Bowman, D., Little, S., Pithuia, P., Sharp, J., Stitch, R., Yabsley, M., and Lund, R.
(2016)
Factors Associated with Anaplasma spp. Seroprevalence Among Dogs in the United States.
Parasites and Vectors, 9, 169.
15.
McMahan, C., McLain, A., Gallagher, C., and Schisterman, E.
(2016)
Estimating Covariate-Adjusted Measures of Diagnostic Accuracy Based on Pooled Biomarker Assessments.
Biometrical Journal, 58, 944-961.
14.
Warasi, S.†, Tebbs, J., McMahan, C., and Bilder, C.
(2016)
Estimating the Prevalence of Multiple Diseases from Two-Stage Hierarchical Pooling.
Statistics in Medicine, 35, 3851-3864.
13.
McDonald, J.⋆, Gerard, P., McMahan, C., and Schucany, W.
(2016)
Exact-Permutation Based Sign Tests for Clustered Binary Data via Weighted and Unweighted Test Statistics.
Journal of Agricultural Biological and Environmental Statistics, 21, 698-712.
12.
Sapp, S.†, Weinstein, S., McMahan, C., and Yabsley, M.
(2016)
Variable Infection Dynamics in Four Peromyscus Species Following Experimental Inoculation with Baylisascaris procyonis.
Journal of Parasitology, 102, 538-544.
11.
Bowman, D., Liu, Y.⋆, McMahan, C., Nordone, S., Yabsley, M., and Lund, R.
(2016)
Forecasting United States Heartworm (Dirofilaria immitis) Prevalence in Dogs.
Parasites and Vectors, 9, 540.
2015
10.
Wang, D.⋆, McMahan, C., and Gallagher, C.
(2015)
A General Regression Framework for Group Testing Data That Incorporates Pool Dilution Effects.
Statistics in Medicine, 27, 3606-3621.
9.
Wang, N.†, Wang, L., and McMahan, C.
(2015)
Regression Analysis of Bivariate Current Status Data Under the Gamma-Frailty Proportional Hazards Model Using the EM Algorithm.
Computational Statistics and Data Analysis, 83, 140-150.
2014
8.
Wang, D.⋆, McMahan, C., Gallagher, C., and Kulasekera, K.
(2014)
Semiparametric Group Testing Regression Models.
Biometrika, 101, 587-598.
2013
7.
McMahan, C., Tebbs, J., and Bilder, C.
(2013)
Regression Models for Group Testing Data with Pool Dilution Effects.
Biostatistics, 14, 284-298.
6.
McMahan, C., Wang, L., and Tebbs, J.
(2013)
Regression Analysis of Current Status Data Using the EM Algorithm.
Statistics in Medicine, 32, 4954-4966.
5.
Tebbs, J., McMahan, C., and Bilder, C.
(2013)
Two-Stage Hierarchical Group Testing for Multiple Infections with Application to the Infertility Prevention Project.
Biometrics, 69, 1064-1073.
2012
4.
McMahan, C., Tebbs, J., and Bilder, C.
(2012)
Informative Dorfman Screening.
Biometrics, 68, 287-296.
3.
McMahan, C., Tebbs, J., and Bilder, C.
(2012)
Two-Dimensional Informative Array Testing.
Biometrics, 68, 793-804.
2010
2.
Biles, D. and McMahan, C.
(2010)
Brownian Motion on Time Scales.
Global Journal of Pure and Applied Mathematics, 6, 197-206.
2009
1.
Atici, F. and McMahan, C.
(2009)
A Comparison in the Theory of Calculus of Variations on Time Scales with an Application to the Ramsey Model.
Nonlinear Dynamics and System Theory, 9, 1-10.
Conference Papers
Book Chapters
2022
1.
Locke, W.†, Mokalled, S.⋆, Abuodeh, O.†, Redmond, L., and McMahan, C.
(2022)
A Bayesian Estimation Technique for Multi-Level Damage Classification in DBHM.
Leveraging Artificial Intelligence in Engineering, Management, and Safety of Infrastructure, CRC Press (Taylor & Francis Group).
Other Publications
2021
2.
Kaur, A., Franco, C., McMahan, C., Otto, M., Schmidt, A., and Toshimitsu, H.
(2021)
Statisticians Tell of COVID-19 Effects Around the World.
AMSTATNEWS, 531, 42-44.
2020
1.
Bilder, C., Tebbs, J., and McMahan, C.
(2020)
Tests in Short Supply? Try Group Testing.
Significance, 17, 15-16.
Software
2021
10.
Baurley, J., Claus, E., Witkiewitz, K., and McMahan, C., Stafford, R., Mudumbai, S., and Saxon, A.
(2021)
Mixed.SVM: Repository for 'A Bayesian Mixed Effects Support Vector Machine for Learning and Predicting Daily Substance Use Disorder Patterns'.
GitHub Repository.
9.
Mokalled, S.⋆, McMahan, C., Brown, A., Tebbs, J., and Bilder, C.
(2021)
Group-Testing-: Repository for 'Acknowledging the Dilution Effect in Group Testing Regression: A New Approach'.
GitHub Repository.
8.
Bilder, C., Hitt, B.†, Schaarschmidt, F., Biggerstaff, B., Tebbs, J., and McMahan, C.
(2021)
binGroup2: An R Package for Group Testing.
CRAN Repository.
7.
Yang, Y.⋆, McMahan, C., Wang, Y., Baurley, J., and Park, S.
(2021)
SIGHR: Repository for 'SIGHR: Side Information Guided High-Dimensional Regression'.
GitHub Repository.
6.
Gregory, K., and McMahan, C.
(2021)
semipadd2pop: Repository for 'Combining Data Sets for Semiparametric Additive Modeling'.
GitHub Repository.
2020
5.
Gettings, J.‡, Watson Self, S.⋆, McMahan, C., Brown, A., Nordone, S., and Yabsley, M.
(2020)
Seroprevalence-Trends: Repository for 'Regional Trends of Borrelia burgdorferi and Anaplasma spp. Seroprevalence in Domestic Dogs: Contiguous United States 2013-2019'.
GitHub Repository.
2019
4.
Liu, Y.⋆, McMahan, C., Tebbs, J., Gallagher, C., and Bilder, C.
(2019)
GAM: Repository for 'Generalized Additive Regression for Group Testing Data'.
GitHub Repository.
3.
Joyner, C.⋆, McMahan, C., Tebbs, J., and Bilder, C.
(2019)
JMTB: Repository for 'From Mixed Effects Modeling to Spike and Slab Variable Selection: A Bayesian Regression Model for Group Testing Data'.
GitHub Repository.
2018
2.
Gregory, K., Wang, D., and McMahan, C.
(2018)
aenetgt: Repository for 'Adaptive Elastic Net for Group Testing'.
GitHub Repository.
2014
1.
McMahan, C. and Wang, L.
(2014)
ICsurv: For the Semiparametric Regression Analysis of Interval-Censored Data.
CRAN Repository.
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