Christopher S. McMahan
Affiliations: | Mathematical Science | Clemson University, Clemson, SC, United States |
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"Christopher McMahan"
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Publications
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| Warasi MS, Tebbs JM, McMahan CS, et al. (2023) Estimating the prevalence of two or more diseases using outcomes from multiplex group testing. Biometrical Journal. Biometrische Zeitschrift. e2200270 |
| Self S, McMahan C, Mokalled S. (2022) Capturing the pool dilution effect in group testing regression: A Bayesian approach. Statistics in Medicine |
| Brown DA, McMahan CS, Self SW. (2021) Sampling Strategies for Fast Updating of Gaussian Markov Random Fields. The American Statistician. 75: 52-65 |
| Stubbs CJ, McMahan C, Seegmiller W, et al. (2020) Integrated Puncture Score: force-displacement weighted rind penetration tests improve stalk lodging resistance estimations in maize. Plant Methods. 16: 113 |
| Bilder CR, Iwen PC, Abdalhamid B, et al. (2020) Tests in short supply? Try group testing. Significance (Oxford, England). 17: 15-16 |
| Gettings JR, Self SCW, McMahan CS, et al. (2020) Local and regional temporal trends (2013-2019) of canine Ehrlichia spp. seroprevalence in the USA. Parasites & Vectors. 13: 153 |
| Liu Y, McMahan CS, Tebbs JM, et al. (2020) Generalized additive regression for group testing data. Biostatistics (Oxford, England) |
| Self SCW, Liu Y, Nordone SK, et al. (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 |
| Joyner CN, McMahan CS, Tebbs JM, et al. (2019) From mixed effects modeling to spike and slab variable selection: A Bayesian regression model for group testing data. Biometrics |
| Joyner C, McMahan C, Baurley J, et al. (2019) A two-phase Bayesian methodology for the analysis of binary phenotypes in genome-wide association studies. Biometrical Journal. Biometrische Zeitschrift |