Zobrazeno 1 - 10
of 379
pro vyhledávání: '"McMahan, Christopher"'
Autor:
McCourt, Kelli, Sautter, Gabrielle, Estes, Shanna L., McMahan, Christopher, Lee, Cindy, Carraway, Elizabeth R., Vélez-Torres, Irene, Vanegas, Diana
Publikováno v:
In Groundwater for Sustainable Development May 2024 25
Publikováno v:
In Computational Statistics and Data Analysis April 2024 192
Autor:
Huang, Rongjie, McMahan, Christopher, Herrin, Brian, McLain, Alexander, Cai, Bo, Self, Stella
Publikováno v:
In Infectious Disease Modelling March 2025 10(1):189-200
Autor:
Kunduru, Bharath, Kumar, Rohit, Brar, Manwinder S., Stubbs, Christopher J., Tabaracci, Kaitlin, Bokros, Norbert T., Bridges, William C., Cook, Douglas D., DeBolt, Seth, McMahan, Christopher S., Robertson, Daniel J., Sekhon, Rajandeep S.
Publikováno v:
In Field Crops Research 1 December 2023 304
Autor:
Stubbs, Christopher J., Kunduru, Bharath, Bokros, Norbert, Verges, Virginia, Porter, Jordan, Cook, Douglas D., DeBolt, Seth, McMahan, Christopher, Sekhon, Rajandeep S., Robertson, Daniel J.
Publikováno v:
In Field Crops Research 1 September 2023 300
Current status data are commonly encountered in medical and epidemiological studies in which the failure time for study units is the outcome variable of interest. Data of this form are characterized by the fact that the failure time is not directly o
Externí odkaz:
http://arxiv.org/abs/1904.10575
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
The proportional hazards (PH) model is arguably one of the most popular models used to analyze time to event data arising from clinical trials and longitudinal studies, among many others. In many such studies, the event time of interest is not direct
Externí odkaz:
http://arxiv.org/abs/1804.00096
Autor:
Self, Stella Watson, McMahan, Christopher, Brown, D. Andrew, Lund, Robert, Gettings, Jenna, Yabsley, Michael
This paper develops a large-scale Bayesian spatio-temporal binomial regression model for the purpose of investigating regional trends in antibody prevalence to Borrelia burgdorferi, the causative agent of Lyme disease. The proposed model uses Gaussia
Externí odkaz:
http://arxiv.org/abs/1803.11194
Autor:
Gettings, Jenna R.1 (AUTHOR), McMahan, Christopher S.2 (AUTHOR), Cleveland, Christopher A.1 (AUTHOR), Varela-Stokes, Andrea3,4 (AUTHOR), Hubbard, Kris5 (AUTHOR), Hamer, Sarah A.6 (AUTHOR), Walden, Heather S.7 (AUTHOR), Yabsley, Michael J.1,8,9 (AUTHOR) myabsley@uga.edu
Publikováno v:
Parasites & Vectors. 11/7/2023, Vol. 16 Issue 1, p1-9. 9p.