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

Stephen J Gange

Showing results (1-10 of 194) with videos related to

Pageof 20
Sort By:
Epidemiology (Cambridge, Mass.)|February 16, 2008
Teaching epidemiologic methodsStephen J Gange
Epidemiology (Cambridge, Mass.)|October 12, 2004
Methods for the analysis of continuous biomarker assay data with increased sensitivityBryan Lau, Stephen J Gange
Evidence-Based Medicine|October 2, 2009
BMI <22.5 and >25 predicted higher overall mortality in adultsLawrence J Cheskin, Stephen J Gange
WMJ : Official Publication of the State Medical Society of Wisconsin|September 12, 2009
Parametric models for studying time to antiretroviral resistance associated with illicit drug useAjay K Sethi, Stephen J Gange
American Journal of Epidemiology|October 8, 2015
From Smallpox to Big Data: The Next 100 Years of Epidemiologic MethodsStephen J Gange, Elizabeth T Golub
Current Opinion in HIV and AIDS|May 21, 2014
Identifying the appropriate comparison group for HIV-infected individualsCherise Wong, Keri Althoff, Stephen J Gange
Journal of Acquired Immune Deficiency Syndromes (1999)|November 1, 2006
Risk of non-AIDS-related mortality may exceed risk of AIDS-related mortality among individuals enrolling into care with CD4+ counts greater than 200 cells/mm3Bryan Lau, Stephen J Gange, Richard D Moore
AIDS Research and Human Retroviruses|July 3, 2007
Interval and clinical cohort studies: epidemiological issuesBryan Lau, Stephen J Gange, Richard D Moore
Statistics in Medicine|February 22, 2011
Parametric mixture models to evaluate and summarize hazard ratios in the presence of competing risks with time-dependent hazards and delayed entryBryan Lau, Stephen R Cole, Stephen J Gange
American Journal of Epidemiology|October 10, 2019
The Changing Science of HIV Epidemiology in the United StatesGypsyamber D'Souza, Elizabeth T Golub, Stephen J Gange
Pageof 20

Showing results (1-10 of 194) with videos related to

Sort By:
Pageof 20
Epidemiology (Cambridge, Mass.)|February 16, 2008
Teaching epidemiologic methodsStephen J Gange
Epidemiology (Cambridge, Mass.)|October 12, 2004
Methods for the analysis of continuous biomarker assay data with increased sensitivityBryan Lau, Stephen J Gange
Evidence-Based Medicine|October 2, 2009
BMI <22.5 and >25 predicted higher overall mortality in adultsLawrence J Cheskin, Stephen J Gange
WMJ : Official Publication of the State Medical Society of Wisconsin|September 12, 2009
Parametric models for studying time to antiretroviral resistance associated with illicit drug useAjay K Sethi, Stephen J Gange
American Journal of Epidemiology|October 8, 2015
From Smallpox to Big Data: The Next 100 Years of Epidemiologic MethodsStephen J Gange, Elizabeth T Golub
Current Opinion in HIV and AIDS|May 21, 2014
Identifying the appropriate comparison group for HIV-infected individualsCherise Wong, Keri Althoff, Stephen J Gange
Journal of Acquired Immune Deficiency Syndromes (1999)|November 1, 2006
Risk of non-AIDS-related mortality may exceed risk of AIDS-related mortality among individuals enrolling into care with CD4+ counts greater than 200 cells/mm3Bryan Lau, Stephen J Gange, Richard D Moore
AIDS Research and Human Retroviruses|July 3, 2007
Interval and clinical cohort studies: epidemiological issuesBryan Lau, Stephen J Gange, Richard D Moore
Statistics in Medicine|February 22, 2011
Parametric mixture models to evaluate and summarize hazard ratios in the presence of competing risks with time-dependent hazards and delayed entryBryan Lau, Stephen R Cole, Stephen J Gange
American Journal of Epidemiology|October 10, 2019
The Changing Science of HIV Epidemiology in the United StatesGypsyamber D'Souza, Elizabeth T Golub, Stephen J Gange
Pageof 20