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Items: 33

1.

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

Hitt BD, Bilder CR, Tebbs JM, McMahan CS.

Stat Med. 2019 Oct 30;38(24):4912-4923. doi: 10.1002/sim.8341. Epub 2019 Aug 30.

PMID:
31469188
2.

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

Self SW, Pulaski CN, McMahan CS, Brown DA, Yabsley MJ, Gettings JR.

Parasit Vectors. 2019 Jul 30;12(1):380. doi: 10.1186/s13071-019-3633-2.

3.

Quantifying the relationship between human Lyme disease and Borrelia burgdorferi exposure in domestic dogs.

Liu Y, Nordone SK, Yabsley MJ, Lund RB, McMahan CS, Gettings JR.

Geospat Health. 2019 May 14;14(1). doi: 10.4081/gh.2019.750.

4.

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

Gamage PWW, McMahan CS, Wang L, Tu W.

Comput Stat Data Anal. 2018 Dec;128:354-366. doi: 10.1016/j.csda.2018.07.016. Epub 2018 Aug 7.

PMID:
31011236
5.

An extended proportional hazards model for interval-censored data subject to instantaneous failures.

Withana Gamage PW, Chaudari M, McMahan CS, Kim EH, Kosorok MR.

Lifetime Data Anal. 2019 Feb 23. doi: 10.1007/s10985-019-09467-z. [Epub ahead of print]

PMID:
30796598
6.

Array testing for multiplex assays.

Hou P, Tebbs JM, Wang D, McMahan CS, Bilder CR.

Biostatistics. 2018 Oct 26. doi: 10.1093/biostatistics/kxy058. [Epub ahead of print]

PMID:
30371749
7.

Informative group testing for multiplex assays.

Bilder CR, Tebbs JM, McMahan CS.

Biometrics. 2019 Mar;75(1):278-288. doi: 10.1111/biom.12988. Epub 2019 Mar 28.

PMID:
30353548
8.

Adaptive elastic net for group testing.

Gregory KB, Wang D, McMahan CS.

Biometrics. 2019 Mar;75(1):13-23. doi: 10.1111/biom.12973. Epub 2019 Mar 8.

PMID:
30267535
9.

Group testing case identification with biomarker information.

Wang D, McMahan CS, Tebbs JM, Bilder CR.

Comput Stat Data Anal. 2018 Jun;122:156-166. doi: 10.1016/j.csda.2018.01.005. Epub 2018 Feb 1.

10.

A partially linear proportional hazards model for current status data.

Lu M, McMahan CS.

Biometrics. 2018 Dec;74(4):1240-1249. doi: 10.1111/biom.12914. Epub 2018 Jul 5.

PMID:
29975791
11.

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

Chaudhari M, Kim EH, Withana Gamage PW, McMahan CS, Kosorok MR.

Stat Med. 2018 Nov 30;37(27):3944-3958. doi: 10.1002/sim.7857. Epub 2018 Jul 5.

PMID:
29974494
12.

Biosignature Discovery for Substance Use Disorders Using Statistical Learning.

Baurley JW, McMahan CS, Ervin CM, Pardamean B, Bergen AW.

Trends Mol Med. 2018 Feb;24(2):221-235. doi: 10.1016/j.molmed.2017.12.008. Epub 2018 Feb 4. Review.

13.

Spatially Modeling the Effects of Meteorological Drivers of PM2.5 in the Eastern United States via a Local Linear Penalized Quantile Regression Estimator.

Russell BT, Wang D, McMahan CS.

Environmetrics. 2017 Aug;28(5). pii: e2448. doi: 10.1002/env.2448. Epub 2017 May 29.

14.

Group testing regression models with dilution submodels.

Warasi MS, McMahan CS, Tebbs JM, Bilder CR.

Stat Med. 2017 Dec 30;36(30):4860-4872. doi: 10.1002/sim.7455. Epub 2017 Aug 30.

15.

A Bayesian spatio-temporal model for forecasting Anaplasma species seroprevalence in domestic dogs within the contiguous United States.

Liu Y, Watson SC, Gettings JR, Lund RB, Nordone SK, Yabsley MJ, McMahan CS.

PLoS One. 2017 Jul 24;12(7):e0182028. doi: 10.1371/journal.pone.0182028. eCollection 2017.

16.

Exact-Permutation Based Sign Tests for Clustered Binary Data via Weighted and Unweighted Test Statistics.

McDonald J, Gerard PD, McMahan CS, Schucany WR.

J Agric Biol Environ Stat. 2016 Dec;21(4):698-712. doi: 10.1007/s13253-016-0261-6. Epub 2016 Jul 22.

17.

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.

Watson SC, Liu Y, Lund RB, Gettings JR, Nordone SK, McMahan CS, Yabsley MJ.

PLoS One. 2017 May 4;12(5):e0174428. doi: 10.1371/journal.pone.0174428. eCollection 2017.

18.

Bayesian regression for group testing data.

McMahan CS, Tebbs JM, Hanson TE, Bilder CR.

Biometrics. 2017 Dec;73(4):1443-1452. doi: 10.1111/biom.12704. Epub 2017 Apr 12.

19.

A Bayesian spatio-temporal model for forecasting the prevalence of antibodies to Ehrlichia species in domestic dogs within the contiguous United States.

Liu Y, Lund RB, Nordone SK, Yabsley MJ, McMahan CS.

Parasit Vectors. 2017 Mar 9;10(1):138. doi: 10.1186/s13071-017-2068-x.

20.

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

Sapp SG, Weinstein SB, McMahan CS, Yabsley MJ.

J Parasitol. 2016 Oct;102(5):538-544. Epub 2016 Jun 28.

PMID:
27351237
21.

Forecasting United States heartworm Dirofilaria immitis prevalence in dogs.

Bowman DD, Liu Y, McMahan CS, Nordone SK, Yabsley MJ, Lund RB.

Parasit Vectors. 2016 Oct 10;9(1):540.

22.

Hierarchical group testing for multiple infections.

Hou P, Tebbs JM, Bilder CR, McMahan CS.

Biometrics. 2017 Jun;73(2):656-665. doi: 10.1111/biom.12589. Epub 2016 Sep 22.

23.

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

Warasi MS, Tebbs JM, McMahan CS, Bilder CR.

Stat Med. 2016 Sep 20;35(21):3851-64. doi: 10.1002/sim.6964. Epub 2016 Apr 18.

24.

Factors associated with Anaplasma spp. seroprevalence among dogs in the United States.

McMahan CS, Wang D, Beall MJ, Bowman DD, Little SE, Pithua PO, Sharp JL, Stich RW, Yabsley MJ, Lund RB.

Parasit Vectors. 2016 Mar 22;9:169. doi: 10.1186/s13071-016-1431-7.

25.

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

McMahan CS, McLain AC, Gallagher CM, Schisterman EF.

Biom J. 2016 Jul;58(4):944-61. doi: 10.1002/bimj.201500195. Epub 2016 Mar 1.

26.

A flexible, computationally efficient method for fitting the proportional hazards model to interval-censored data.

Wang L, McMahan CS, Hudgens MG, Qureshi ZP.

Biometrics. 2016 Mar;72(1):222-31. doi: 10.1111/biom.12389. Epub 2015 Sep 22.

27.

Rejoinder to "Reader reaction: A note on the evaluation of group testing algorithms in the presence of misclassification".

McMahan CS, Tebbs JM, Bilder CR.

Biometrics. 2016 Mar;72(1):303-4. doi: 10.1111/biom.12386. Epub 2015 Sep 10. No abstract available.

PMID:
26355793
28.

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

Wang D, McMahan CS, Gallagher CM.

Stat Med. 2015 Nov 30;34(27):3606-21. doi: 10.1002/sim.6578. Epub 2015 Jul 14.

PMID:
26173957
29.

Two-stage hierarchical group testing for multiple infections with application to the infertility prevention project.

Tebbs JM, McMahan CS, Bilder CR.

Biometrics. 2013 Dec;69(4):1064-73. doi: 10.1111/biom.12080. Epub 2013 Oct 4.

30.

Regression analysis for current status data using the EM algorithm.

McMahan CS, Wang L, Tebbs JM.

Stat Med. 2013 Nov 10;32(25):4452-66. doi: 10.1002/sim.5863. Epub 2013 Jun 12.

PMID:
23761135
31.

Regression models for group testing data with pool dilution effects.

McMahan CS, Tebbs JM, Bilder CR.

Biostatistics. 2013 Apr;14(2):284-98. doi: 10.1093/biostatistics/kxs045. Epub 2012 Nov 28.

32.

Two-dimensional informative array testing.

McMahan CS, Tebbs JM, Bilder CR.

Biometrics. 2012 Sep;68(3):793-804. doi: 10.1111/j.1541-0420.2011.01726.x. Epub 2011 Dec 29.

33.

Informative Dorfman screening.

McMahan CS, Tebbs JM, Bilder CR.

Biometrics. 2012 Mar;68(1):287-96. doi: 10.1111/j.1541-0420.2011.01644.x. Epub 2011 Jul 15.

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