Search research articles
Contact Us
Filters
Showing results (1-10 of 28) with videos related to
Page
of 3
Sort By:
Molecular Ecology Resources
|
November 4, 2022
Pitfalls in the statistical analysis of microbiome amplicon sequencing data
Hendriek C Boshuizen, Dennis E Te Beest
Epidemiology (Cambridge, Mass.)
|
January 23, 2013
Estimating the generation interval of influenza A (H1N1) in a range of social settings
Dennis E te Beest, Jacco Wallinga, Tjibbe Donker, et al.
Scandinavian Journal of Statistics, Theory and Applications
|
April 23, 2019
Learning from a lot: Empirical Bayes for high-dimensional model-based prediction
Mark A van de Wiel, Dennis E Te Beest, Magnus M Münch
Plos One
|
July 18, 2017
Heterosubtypic cross-reactivity of HA1 antibodies to influenza A, with emphasis on nonhuman subtypes (H5N1, H7N7, H9N2)
Dennis E Te Beest, Erwin de Bruin, Sandra Imholz, et al.
American Journal of Epidemiology
|
September 14, 2013
Driving factors of influenza transmission in the Netherlands
Dennis E te Beest, Michiel van Boven, Mariëtte Hooiveld, et al.
Journal of the Royal Society, Interface
|
December 26, 2014
Joint modelling of serological and hospitalization data reveals that high levels of pre-existing immunity and school holidays shaped the influenza A pandemic of 2009 in the Netherlands
Dennis E Te Beest, Paul J Birrell, Jacco Wallinga, et al.
Molecular Ecology Resources
|
March 25, 2021
Log-ratio analysis of microbiome data with many zeroes is library size dependent
Dennis E Te Beest, Els H Nijhuis, Tim W R Möhlmann, et al.
Veterinary Research
|
July 1, 2011
Risk based culling for highly infectious diseases of livestock
Dennis E te Beest, Thomas J Hagenaars, J Arjan Stegeman, et al.
Emerging Infectious Diseases
|
September 30, 2010
Effectiveness of personal protective equipment and oseltamivir prophylaxis during avian influenza A (H7N7) epidemic, the Netherlands, 2003
Dennis E te Beest, Michiel van Boven, Marian E H Bos, et al.
BMC Bioinformatics
|
December 29, 2017
Improved high-dimensional prediction with Random Forests by the use of co-data
Dennis E Te Beest, Steven W Mes, Saskia M Wilting, et al.
Page
of 3
Search research articles
Search
Showing results (1-10 of 28) with videos related to
Sort By:
Page
of 3
Molecular Ecology Resources
|
November 4, 2022
Pitfalls in the statistical analysis of microbiome amplicon sequencing data
Hendriek C Boshuizen, Dennis E Te Beest
Epidemiology (Cambridge, Mass.)
|
January 23, 2013
Estimating the generation interval of influenza A (H1N1) in a range of social settings
Dennis E te Beest, Jacco Wallinga, Tjibbe Donker, et al.
Scandinavian Journal of Statistics, Theory and Applications
|
April 23, 2019
Learning from a lot: Empirical Bayes for high-dimensional model-based prediction
Mark A van de Wiel, Dennis E Te Beest, Magnus M Münch
Plos One
|
July 18, 2017
Heterosubtypic cross-reactivity of HA1 antibodies to influenza A, with emphasis on nonhuman subtypes (H5N1, H7N7, H9N2)
Dennis E Te Beest, Erwin de Bruin, Sandra Imholz, et al.
American Journal of Epidemiology
|
September 14, 2013
Driving factors of influenza transmission in the Netherlands
Dennis E te Beest, Michiel van Boven, Mariëtte Hooiveld, et al.
Journal of the Royal Society, Interface
|
December 26, 2014
Joint modelling of serological and hospitalization data reveals that high levels of pre-existing immunity and school holidays shaped the influenza A pandemic of 2009 in the Netherlands
Dennis E Te Beest, Paul J Birrell, Jacco Wallinga, et al.
Molecular Ecology Resources
|
March 25, 2021
Log-ratio analysis of microbiome data with many zeroes is library size dependent
Dennis E Te Beest, Els H Nijhuis, Tim W R Möhlmann, et al.
Veterinary Research
|
July 1, 2011
Risk based culling for highly infectious diseases of livestock
Dennis E te Beest, Thomas J Hagenaars, J Arjan Stegeman, et al.
Emerging Infectious Diseases
|
September 30, 2010
Effectiveness of personal protective equipment and oseltamivir prophylaxis during avian influenza A (H7N7) epidemic, the Netherlands, 2003
Dennis E te Beest, Michiel van Boven, Marian E H Bos, et al.
BMC Bioinformatics
|
December 29, 2017
Improved high-dimensional prediction with Random Forests by the use of co-data
Dennis E Te Beest, Steven W Mes, Saskia M Wilting, et al.
Page
of 3