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

Jan Beyersmann

Showing results (1-10 of 112) with videos related to

Pageof 12
Sort By:
Biometrical Journal. Biometrische Zeitschrift|July 20, 2007
A random time interval approach for analysing the impact of a possible intermediate event on a terminal eventJan Beyersmann
Statistics in Medicine|October 21, 2006
Misspecified regression model for the subdistribution hazard of a competing riskJan Beyersmann, Martin Schumacher
Infection Control and Hospital Epidemiology|February 17, 2016
Estimating Infection Incidence in Longitudinal StudiesJan Beyersmann, Christine Schrade
Biostatistics (Oxford, England)|April 25, 2008
Time-dependent covariates in the proportional subdistribution hazards model for competing risksJan Beyersmann, Martin Schumacher
Biostatistics (Oxford, England)|March 30, 2010
Software for fitting nonstandard proportional subdistribution hazards modelsArthur Allignol, Jan Beyersmann
Statistics in Medicine|July 18, 2019
Exposure density sampling: Dynamic matching with respect to a time-dependent exposureKristin Ohneberg, Jan Beyersmann, Martin Schumacher
Intensive Care Medicine|November 26, 2009
A note on statistical association and causality derived from epidemiological ICU dataMartin Wolkewitz, Jan Beyersmann, Martin Schumacher
Biometrical Journal. Biometrische Zeitschrift|May 3, 2018
A simulation approach for power calculation in large cohort studies based on multistate modelsBastian Jenny, Jan Beyersmann, Martin Schumacher
Biometrical Journal. Biometrische Zeitschrift|October 22, 2021
Design aspects of COVID-19 treatment trials: Improving probability and time of favorable eventsJan Beyersmann, Tim Friede, Claudia Schmoor
Statistics in Medicine|October 7, 2008
The impact of time-dependent bias in proportional hazards modellingJan Beyersmann, Martin Wolkewitz, Martin Schumacher
Pageof 12

Showing results (1-10 of 112) with videos related to

Sort By:
Pageof 12
Biometrical Journal. Biometrische Zeitschrift|July 20, 2007
A random time interval approach for analysing the impact of a possible intermediate event on a terminal eventJan Beyersmann
Statistics in Medicine|October 21, 2006
Misspecified regression model for the subdistribution hazard of a competing riskJan Beyersmann, Martin Schumacher
Infection Control and Hospital Epidemiology|February 17, 2016
Estimating Infection Incidence in Longitudinal StudiesJan Beyersmann, Christine Schrade
Biostatistics (Oxford, England)|April 25, 2008
Time-dependent covariates in the proportional subdistribution hazards model for competing risksJan Beyersmann, Martin Schumacher
Biostatistics (Oxford, England)|March 30, 2010
Software for fitting nonstandard proportional subdistribution hazards modelsArthur Allignol, Jan Beyersmann
Statistics in Medicine|July 18, 2019
Exposure density sampling: Dynamic matching with respect to a time-dependent exposureKristin Ohneberg, Jan Beyersmann, Martin Schumacher
Intensive Care Medicine|November 26, 2009
A note on statistical association and causality derived from epidemiological ICU dataMartin Wolkewitz, Jan Beyersmann, Martin Schumacher
Biometrical Journal. Biometrische Zeitschrift|May 3, 2018
A simulation approach for power calculation in large cohort studies based on multistate modelsBastian Jenny, Jan Beyersmann, Martin Schumacher
Biometrical Journal. Biometrische Zeitschrift|October 22, 2021
Design aspects of COVID-19 treatment trials: Improving probability and time of favorable eventsJan Beyersmann, Tim Friede, Claudia Schmoor
Statistics in Medicine|October 7, 2008
The impact of time-dependent bias in proportional hazards modellingJan Beyersmann, Martin Wolkewitz, Martin Schumacher
Pageof 12