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Nicole Bohme Carnegie

Showing results (1-10 of 15) with videos related to

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Statistics in Medicine|March 25, 2011
Bootstrap confidence intervals and bias correction in the estimation of HIV incidence from surveillance data with testing for recent infectionNicole Bohme Carnegie
Statistics in Medicine|February 14, 2017
Effects of contact network structure on epidemic transmission trees: implications for data required to estimate network structureNicole Bohme Carnegie
Plos One|September 1, 2012
Size matters: concurrency and the epidemic potential of HIV in small networksNicole Bohme Carnegie, Martina Morris
Algorithms|June 6, 2022
Calibration of an Adaptive Genetic Algorithm for Modeling Opinion DiffusionKara Layne Johnson, Nicole Bohme Carnegie
Epidemiologic Methods|April 6, 2023
Estimation of the overall treatment effect in the presence of interference in cluster-randomized trials of infectious disease preventionNicole Bohme Carnegie, Rui Wang, Victor De Gruttola
Statistics in Medicine|May 4, 2016
A flexible, interpretable framework for assessing sensitivity to unmeasured confoundingVincent Dorie, Masataka Harada, Nicole Bohme Carnegie, et al.
Plos Computational Biology|January 14, 2014
Linkage of viral sequences among HIV-infected village residents in Botswana: estimation of linkage rates in the presence of missing dataNicole Bohme Carnegie, Rui Wang, Vladimir Novitsky, et al.
Journal of Computational and Graphical Statistics : a Joint Publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America|September 1, 2015
An approximation method for improving dynamic network model fittingNicole Bohme Carnegie, Pavel N Krivitsky, David R Hunter, et al.
International Journal of Environmental Research and Public Health|December 24, 2021
Performance of a Genetic Algorithm for Estimating DeGroot Opinion Diffusion Model Parameters for Health Behavior InterventionsKara Layne Johnson, Jennifer L Walsh, Yuri A Amirkhanian, et al.
Applied Network Science|August 23, 2021
Using a novel genetic algorithm to assess peer influence on willingness to use pre-exposure prophylaxis in networks of Black men who have sex with menKara Layne Johnson, Jennifer L Walsh, Yuri A Amirkhanian, et al.
Pageof 2

Showing results (1-10 of 15) with videos related to

Sort By:
Pageof 2
Statistics in Medicine|March 25, 2011
Bootstrap confidence intervals and bias correction in the estimation of HIV incidence from surveillance data with testing for recent infectionNicole Bohme Carnegie
Statistics in Medicine|February 14, 2017
Effects of contact network structure on epidemic transmission trees: implications for data required to estimate network structureNicole Bohme Carnegie
Plos One|September 1, 2012
Size matters: concurrency and the epidemic potential of HIV in small networksNicole Bohme Carnegie, Martina Morris
Algorithms|June 6, 2022
Calibration of an Adaptive Genetic Algorithm for Modeling Opinion DiffusionKara Layne Johnson, Nicole Bohme Carnegie
Epidemiologic Methods|April 6, 2023
Estimation of the overall treatment effect in the presence of interference in cluster-randomized trials of infectious disease preventionNicole Bohme Carnegie, Rui Wang, Victor De Gruttola
Statistics in Medicine|May 4, 2016
A flexible, interpretable framework for assessing sensitivity to unmeasured confoundingVincent Dorie, Masataka Harada, Nicole Bohme Carnegie, et al.
Plos Computational Biology|January 14, 2014
Linkage of viral sequences among HIV-infected village residents in Botswana: estimation of linkage rates in the presence of missing dataNicole Bohme Carnegie, Rui Wang, Vladimir Novitsky, et al.
Journal of Computational and Graphical Statistics : a Joint Publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America|September 1, 2015
An approximation method for improving dynamic network model fittingNicole Bohme Carnegie, Pavel N Krivitsky, David R Hunter, et al.
International Journal of Environmental Research and Public Health|December 24, 2021
Performance of a Genetic Algorithm for Estimating DeGroot Opinion Diffusion Model Parameters for Health Behavior InterventionsKara Layne Johnson, Jennifer L Walsh, Yuri A Amirkhanian, et al.
Applied Network Science|August 23, 2021
Using a novel genetic algorithm to assess peer influence on willingness to use pre-exposure prophylaxis in networks of Black men who have sex with menKara Layne Johnson, Jennifer L Walsh, Yuri A Amirkhanian, et al.
Pageof 2