Christopher Mcmahan
机构: Clemson University
每年引用次数
引用次数
引用: 1,946
H-指数: 25
I10-指数 : 57
出版物: 130
Regression models for group testing data with pool dilution effects
C. S. McMahan , J. M. Tebbs , C. R. Bilder
Biostatistics 14 ( 2) 284 -298
35
2013
Semiparametric group testing regression models
D. Wang , C. S. McMahan , C. M. Gallagher , K. B. Kulasekera
Biometrika 101 ( 3) 587 -598
18
2014
A comparison in the theory of calculus of variations on time scales with an application to the Ramsey model
FM Atici , CS McMahan
Nonlinear Dyn. Syst. Theory 9 ( 1) 1 -10
24
2009
COVID-19 wastewater epidemiology: a model to estimate infected populations. Lancet Planet Health 5: e874–e881
CS McMahan , S Self , L Rennert , C Kalbaugh
15
2021
Icsurv: A package for semiparametric regression analysis of interval-censored data
CS McMahan , L Wang
R package version 1
13
2014
COVID-19 wastewater epidemiology: a model to estimate infected populations. Lancet Planet Health. 2021; 5: e874–81
CS McMahan , S Self , L Rennert , C Kalbaugh
6
Response to reader reaction
Christopher S Mcmahan , Joshua M Tebbs , Christopher R Bilder
Biometrics
2015
Group testing models with unknown link function
Christopher S. McMahan , Colin M. Gallagher , Karunarathna B. Kulasekera , Dewei Wang
2013
Identifying meteorological drivers of PM2.5 levels via a Bayesian spatial quantile regression
Christopher S. McMahan , Brook T. Russell , Stella W. Self
Environmetrics
2021
Informative array testing with multiplex assays.
Joshua M. Tebbs , Christopher R. Bilder , Christopher S. McMahan
Statistics in Medicine 40 ( 13) 3021 -3034
2021
A penalized likelihood approach for efficiently estimating a partially linear additive transformation model with current status data
Minggen Lu , Christopher S. McMahan , Yan Liu
Electronic Journal of Statistics 15 ( 1)
2021
Quantifying the relationship between human Lyme disease and Borrelia burgdorferi exposure in domestic dogs
Yan Liu , Shila K. Nordone , Michael J. Yabsley , Robert B. Lund
Geospatial Health 14 ( 1)
9
2019
From mixed effects modeling to spike and slab variable selection: A Bayesian regression model for group testing data
Chase N. Joyner , Christopher S. McMahan , Joshua M. Tebbs , Christopher R. Bilder
Biometrics 76 ( 3) 913 -923
2020
Rejoinder to “Reader reaction: A note on the evaluation of group testing algorithms in the presence of misclassification”
Christopher S. McMahan , Joshua M. Tebbs , Christopher R. Bilder
Biometrics 72 ( 1) 303 -304
1
2016
A flexible, computationally efficient method for fitting the proportional hazards model to interval-censored data
Lianming Wang , Christopher S. McMahan , Michael G. Hudgens , Zaina P. Qureshi
Biometrics 72 ( 1) 222 -231
48
2016
Hierarchical group testing for multiple infections.
Peijie Hou , Joshua M. Tebbs , Christopher R. Bilder , Christopher S. McMahan
Biometrics 73 ( 2) 656 -665
11
2017
Bayesian regression for group testing data
Christopher S. McMahan , Joshua M. Tebbs , Timothy E. Hanson , Christopher R. Bilder
Biometrics 73 ( 4) 1443 -1452
7
2017
A partially linear proportional hazards model for current status data.
Minggen Lu , Christopher S. McMahan
Biometrics 74 ( 4) 1240 -1249
3
2018
Adaptive elastic net for group testing.
Karl B. Gregory , Dewei Wang , Christopher S. McMahan
Biometrics 75 ( 1) 13 -23
3
2019
Informative group testing for multiplex assays
Christopher R. Bilder , Joshua M. Tebbs , Christopher S. McMahan
Biometrics 75 ( 1) 278 -288
6
2019