A general regression framework for group testing data, which incorporates pool dilution effects.

Dewei Wang , Christopher S. McMahan , Colin M. Gallagher
Statistics in Medicine 34 ( 27) 3606 -3621

13
2015
Estimating the prevalence of multiple diseases from two-stage hierarchical pooling.

Md S. Warasi , Joshua M. Tebbs , Christopher S. McMahan , Christopher R. Bilder
Statistics in Medicine 35 ( 21) 3851 -3864

11
2016
Group testing regression models with dilution submodels

Md S. Warasi , Christopher S. McMahan , Joshua M. Tebbs , Christopher R. Bilder
Statistics in Medicine 36 ( 30) 4860 -4872

3
2017
Study design with staggered sampling times for evaluating sustained unresponsiveness to peanut sublingual immunotherapy.

Monica Chaudhari , Edwin H. Kim , Prabhashi W. Withana Gamage , Christopher S. McMahan
Statistics in Medicine 37 ( 27) 3944 -3958

2
2018
The objective function controversy for group testing: Much ado about nothing?

Brianna D. Hitt , Christopher R. Bilder , Joshua M. Tebbs , Christopher S. McMahan
Statistics in Medicine 38 ( 24) 4912 -4923

9
2019
Variable Infection Dynamics in Four Peromyscus Species Following Experimental Inoculation with Baylisascaris procyonis

Sarah G. H. Sapp , Sara B. Weinstein , Christopher S. McMahan , Michael J. Yabsley
Journal of Parasitology 102 ( 5) 538 -544

7
2016
A large‐scale spatio‐temporal binomial regression model for estimating seroprevalence trends

Stella C. Watson Self , Christopher S. McMahan , Derek A. Brown , Robert B. Lund
Environmetrics 29 ( 8)

9
2018
Tests in short supply? Try group testing

Christopher R. Bilder , Peter C. Iwen , Baha Abdalhamid , Joshua M. Tebbs
Significance 17 ( 3) 15 -16

10
2020
Informative Dorfman screening.

Christopher S. McMahan , Joshua M. Tebbs , Christopher R. Bilder
Biometrics 68 ( 1) 287 -296

55
2012
Two‐Dimensional Informative Array Testing

Christopher S. McMahan , Joshua M. Tebbs , Christopher R. Bilder
Biometrics 68 ( 3) 793 -804

19
2012
Canine vector-borne disease: mapping and the accuracy of forecasting using big data from the veterinary community.

Stella C. W. Self , Yan Liu , Shila K. Nordone , Michael J. Yabsley
Animal Health Research Reviews 20 ( 1) 47 -60

14
2019
A robust regression methodology via M-estimation

Tao Yang , Colin M. Gallagher , Christopher S. McMahan
Communications in Statistics-theory and Methods 48 ( 5) 1092 -1107

4
2019
Regression analysis of bivariate current status data under the Gamma-frailty proportional hazards model using the EM algorithm

Naichen Wang , Lianming Wang , Christopher S. McMahan
Computational Statistics & Data Analysis 83 140 -150

20
2015
Group testing case identification with biomarker information.

Dewei Wang , Christopher S. McMahan , Joshua M. Tebbs , Christopher R. Bilder
Computational Statistics & Data Analysis 122 156 -166

4
2018
A Gamma-frailty proportional hazards model for bivariate interval-censored data.

Prabhashi W. Withana Gamage , Christopher S. McMahan , Lianming Wang , Wanzhu Tu
Computational Statistics & Data Analysis 128 354 -366

2018
Estimating covariate-adjusted measures of diagnostic accuracy based on pooled biomarker assessments.

Christopher S. McMahan , Alexander C. McLain , Colin M. Gallagher , Enrique F. Schisterman
Biometrical Journal 58 ( 4) 944 -961

4
2016
Local and regional temporal trends (2013–2019) of canine Ehrlichia spp. seroprevalence in the USA

Jenna R. Gettings , Stella C. W. Self , Christopher S. McMahan , D. Andrew Brown
Parasites & Vectors 13 ( 1) 1 -11

2
2020
Regional and local temporal trends in the prevalence of canine heartworm infection in the contiguous United States: 2012-2018.

Stella W. Self , Cassan N. Pulaski , Christopher S. McMahan , D. Andrew Brown
Parasites & Vectors 12 ( 1) 1 -10

9
2019