Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Satten

Showing results (61-70 of 130) with videos related to

Pageof 13
Sort By:
The Journal of Pediatrics|March 27, 2010
Late preterm birth and risk of developing asthmaKaron Abe, Carrie K Shapiro-Mendoza, Laura R Hall, et al.
Genetic Epidemiology|August 13, 2014
Population-based association and gene by environment interactions in Genetic Analysis Workshop 18Glen A Satten, Swati Biswas, Charalampos Papachristou, et al.
Birth Defects Research. Part A, Clinical and Molecular Teratology|January 6, 2004
Random error and undercounting in birth defects surveillance data: implications for inferenceAdolfo Correa-Villaseñor, Glen A Satten, Henry Rolka, et al.
Immunology and Infectious Diseases|March 6, 2015
Interaction of <i>HLA-DRB1</i>*<i>1501</i> and <i>TNF-Alpha</i> in a Population-based Case-control Study of Multiple SclerosisDhelia M Williamson, Ruth Ann Marrie, Allison Ashley-Koch, et al.
Lancet (London, England)|January 22, 1994
Probability of female-to-male transmission of HIV-1 in ThailandT D Mastro, G A Satten, T Nopkesorn, et al.
American Journal of Epidemiology|August 10, 2001
Analysis of dynamic cohort dataJ M Williamson, G A Satten, J A Hanson, et al.
Research Square|October 27, 2023
Integrative analysis of microbial 16S gene and shotgun metagenomic sequencing data improves statistical efficiencyYe Yue, Timothy D Read, Veronika Fedirko, et al.
Biorxiv : the Preprint Server for Biology|July 10, 2023
Integrative analysis of microbial 16S gene and shotgun metagenomic sequencing data improves statistical efficiencyYe Yue, Timothy D Read, Veronika Fedirko, et al.
Genes|October 27, 2022
What Can We Learn about the Bias of Microbiome Studies from Analyzing Data from Mock Communities?Mo Li, Robert E Tyx, Angel J Rivera, et al.
Biostatistics (Oxford, England)|January 28, 2004
How special is a 'special' interval: modeling departure from length-biased sampling in renewal processesGlen A Satten, Fanhui Kong, David J Wright, et al.
Pageof 13

Showing results (61-70 of 130) with videos related to

Sort By:
Pageof 13
The Journal of Pediatrics|March 27, 2010
Late preterm birth and risk of developing asthmaKaron Abe, Carrie K Shapiro-Mendoza, Laura R Hall, et al.
Genetic Epidemiology|August 13, 2014
Population-based association and gene by environment interactions in Genetic Analysis Workshop 18Glen A Satten, Swati Biswas, Charalampos Papachristou, et al.
Birth Defects Research. Part A, Clinical and Molecular Teratology|January 6, 2004
Random error and undercounting in birth defects surveillance data: implications for inferenceAdolfo Correa-Villaseñor, Glen A Satten, Henry Rolka, et al.
Immunology and Infectious Diseases|March 6, 2015
Interaction of <i>HLA-DRB1</i>*<i>1501</i> and <i>TNF-Alpha</i> in a Population-based Case-control Study of Multiple SclerosisDhelia M Williamson, Ruth Ann Marrie, Allison Ashley-Koch, et al.
Lancet (London, England)|January 22, 1994
Probability of female-to-male transmission of HIV-1 in ThailandT D Mastro, G A Satten, T Nopkesorn, et al.
American Journal of Epidemiology|August 10, 2001
Analysis of dynamic cohort dataJ M Williamson, G A Satten, J A Hanson, et al.
Research Square|October 27, 2023
Integrative analysis of microbial 16S gene and shotgun metagenomic sequencing data improves statistical efficiencyYe Yue, Timothy D Read, Veronika Fedirko, et al.
Biorxiv : the Preprint Server for Biology|July 10, 2023
Integrative analysis of microbial 16S gene and shotgun metagenomic sequencing data improves statistical efficiencyYe Yue, Timothy D Read, Veronika Fedirko, et al.
Genes|October 27, 2022
What Can We Learn about the Bias of Microbiome Studies from Analyzing Data from Mock Communities?Mo Li, Robert E Tyx, Angel J Rivera, et al.
Biostatistics (Oxford, England)|January 28, 2004
How special is a 'special' interval: modeling departure from length-biased sampling in renewal processesGlen A Satten, Fanhui Kong, David J Wright, et al.
Pageof 13