Christopher Mcmahan
Christopher Mcmahan
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Cited by
COVID-19 wastewater epidemiology: a model to estimate infected populations
CS McMahan, S Self, L Rennert, C Kalbaugh, D Kriebel, D Graves, ...
The Lancet Planetary Health 5 (12), e874-e881, 2021
A flexible, computationally efficient method for fitting the proportional hazards model to interval-censored data
L Wang, CS McMahan, MG Hudgens, ZP Qureshi
Biometrics 72 (1), 222-231, 2016
Informative dorfman screening
CS McMahan, JM Tebbs, CR Bilder
Biometrics 68 (1), 287-296, 2012
Stalk bending strength is strongly associated with maize stalk lodging incidence across multiple environments
RS Sekhon, CN Joyner, AJ Ackerman, CS McMahan, DD Cook, ...
Field Crops Research 249, 107737, 2020
Two‐stage hierarchical group testing for multiple infections with application to the infertility prevention project
JM Tebbs, CS McMahan, CR Bilder
Biometrics 69 (4), 1064-1073, 2013
Regression models for group testing data with pool dilution effects
CS McMahan, JM Tebbs, CR Bilder
Biostatistics 14 (2), 284-298, 2013
Regression analysis for current status data using the EM algorithm
CS McMahan, L Wang, JM Tebbs
Statistics in medicine 32 (25), 4452-4466, 2013
Surveillance-based informative testing for detection and containment of SARS-CoV-2 outbreaks on a public university campus: an observational and modelling study
L Rennert, C McMahan, CA Kalbaugh, Y Yang, B Lumsden, D Dean, ...
The Lancet Child & Adolescent Health 5 (6), 428-436, 2021
Two-dimensional informative array testing
CS McMahan, JM Tebbs, CR Bilder
Biometrics 68 (3), 793-804, 2012
Forecasting United States heartworm Dirofilaria immitis prevalence in dogs
DD Bowman, Y Liu, CS McMahan, SK Nordone, MJ Yabsley, RB Lund
Parasites & vectors 9, 1-12, 2016
Quantifying the relationship between human Lyme disease and Borrelia burgdorferi exposure in domestic dogs
Y Liu, SK Nordone, MJ Yabsley, RB Lund, CS McMahan, JR Gettings
Geospatial Health 14 (1), 2019
Regression analysis of bivariate current status data under the Gamma-frailty proportional hazards model using the EM algorithm
N Wang, L Wang, CS McMahan
Computational Statistics & Data Analysis 83, 140-150, 2015
Semiparametric group testing regression models
D Wang, CS McMahan, CM Gallagher, KB Kulasekera
Biometrika 101 (3), 587-598, 2014
Risk of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) reinfection in a university student population
L Rennert, C McMahan
Clinical Infectious Diseases 74 (4), 719-722, 2022
A Bayesian spatio-temporal model for forecasting the prevalence of antibodies to Borrelia burgdorferi, causative agent of Lyme disease, in domestic dogs within the …
SC Watson, Y Liu, RB Lund, JR Gettings, SK Nordone, CS McMahan, ...
PLoS One 12 (5), e0174428, 2017
Regional and local temporal trends in the prevalence of canine heartworm infection in the contiguous United States: 2012–2018
SW Self, CN Pulaski, CS McMahan, DA Brown, MJ Yabsley, JR Gettings
Parasites & vectors 12, 1-10, 2019
Diverse maize hybrids are structurally inefficient at resisting wind induced bending forces that cause stalk lodging
CJ Stubbs, K Seegmiller, C McMahan, RS Sekhon, DJ Robertson
Plant Methods 16, 1-15, 2020
Bayesian regression for group testing data
CS McMahan, JM Tebbs, TE Hanson, CR Bilder
Biometrics 73 (4), 1443-1452, 2017
Reader reaction: A note on the evaluation of group testing algorithms in the presence of misclassification
Y Malinovsky, PS Albert, A Roy
Biometrics 72 (1), 299-302, 2016
Genetic risk factors for colorectal cancer in multiethnic Indonesians
I Yusuf, B Pardamean, JW Baurley, A Budiarto, UA Miskad, RE Lusikooy, ...
Scientific reports 11 (1), 9988, 2021
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