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

Jason P Fine

Showing results (41-50 of 152) with videos related to

Pageof 16
Sort By:
Biometrics|June 14, 2008
Nonparametric association analysis of exchangeable clustered competing risks dataYu Cheng, Jason P Fine, Michael R Kosorok
Biostatistics (Oxford, England)|October 12, 2004
Nonparametric estimation of the effects of quantitative trait lociJason P Fine, Fei Zou, Brian S Yandell
Annals of Statistics|May 11, 2010
On Asymptotically Optimal Tests Under Loss of Identifiability in Semiparametric ModelsRui Song, Michael R Kosorok, Jason P Fine
Statistics in Medicine|October 30, 2019
A review of the use of time-varying covariates in the Fine-Gray subdistribution hazard competing risk regression modelPeter C Austin, Aurélien Latouche, Jason P Fine
Biostatistics (Oxford, England)|May 7, 2019
G-estimation of structural nested mean models for competing risks data using pseudo-observationsShiro Tanaka, M Alan Brookhart, Jason P Fine
Circulation|February 10, 2016
Introduction to the Analysis of Survival Data in the Presence of Competing RisksPeter C Austin, Douglas S Lee, Jason P Fine
Statistics in Medicine|August 10, 2019
On the self-triggering Cox model for recurrent event dataJung In Kim, Feng-Chang Lin, Jason P Fine
Biometrika|February 20, 2014
Robust analysis of semiparametric renewal process modelsFeng-Chang Lin, Young K Truong, Jason P Fine
Biometrika|February 13, 2018
On two-stage estimation of structural instrumental variable modelsByeong Yeob Choi, Jason P Fine, M Alan Brookhart
Statistics in Medicine|August 28, 2020
Bias testing, bias correction, and confounder selection using an instrumental variable modelByeong Yeob Choi, Jason P Fine, M Alan Brookhart
Pageof 16

Showing results (41-50 of 152) with videos related to

Sort By:
Pageof 16
Biometrics|June 14, 2008
Nonparametric association analysis of exchangeable clustered competing risks dataYu Cheng, Jason P Fine, Michael R Kosorok
Biostatistics (Oxford, England)|October 12, 2004
Nonparametric estimation of the effects of quantitative trait lociJason P Fine, Fei Zou, Brian S Yandell
Annals of Statistics|May 11, 2010
On Asymptotically Optimal Tests Under Loss of Identifiability in Semiparametric ModelsRui Song, Michael R Kosorok, Jason P Fine
Statistics in Medicine|October 30, 2019
A review of the use of time-varying covariates in the Fine-Gray subdistribution hazard competing risk regression modelPeter C Austin, Aurélien Latouche, Jason P Fine
Biostatistics (Oxford, England)|May 7, 2019
G-estimation of structural nested mean models for competing risks data using pseudo-observationsShiro Tanaka, M Alan Brookhart, Jason P Fine
Circulation|February 10, 2016
Introduction to the Analysis of Survival Data in the Presence of Competing RisksPeter C Austin, Douglas S Lee, Jason P Fine
Statistics in Medicine|August 10, 2019
On the self-triggering Cox model for recurrent event dataJung In Kim, Feng-Chang Lin, Jason P Fine
Biometrika|February 20, 2014
Robust analysis of semiparametric renewal process modelsFeng-Chang Lin, Young K Truong, Jason P Fine
Biometrika|February 13, 2018
On two-stage estimation of structural instrumental variable modelsByeong Yeob Choi, Jason P Fine, M Alan Brookhart
Statistics in Medicine|August 28, 2020
Bias testing, bias correction, and confounder selection using an instrumental variable modelByeong Yeob Choi, Jason P Fine, M Alan Brookhart
Pageof 16