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

Micha Mandel

Showing results (1-10 of 55) with videos related to

Pageof 6
Sort By:
Biostatistics (Oxford, England)|November 26, 2009
The competing risks illness-death model under cross-sectional samplingMicha Mandel
Statistics in Medicine|May 14, 2015
Analyzing multiple cross-sectional samples with application to hospitalization time after surgeriesMicha Mandel
Biostatistics (Oxford, England)|January 13, 2010
Estimating disease progression using panel dataMicha Mandel
Biometrics|December 10, 2009
The accelerated failure time model under biased samplingMicha Mandel, Ya'akov Ritov
Annals of Neurology|October 11, 2015
Recognizing the problem of delayed entry in time-to-event studies: Better late than never for clinical neuroscientistsRebecca A Betensky, Micha Mandel
Biometrics|August 11, 2007
Testing goodness of fit of a uniform truncation modelMicha Mandel, Rebecca A Betensky
Statistics in Medicine|November 11, 2015
Comparing estimation approaches for the illness-death model under left truncation and right censoringBella Vakulenko-Lagun, Micha Mandel
Computational Statistics & Data Analysis|January 13, 2009
Simultaneous Confidence Intervals Based on the Percentile Bootstrap ApproachMicha Mandel, Rebecca A Betensky
Biostatistics (Oxford, England)|April 22, 2008
Estimating time-to-event from longitudinal ordinal data using random-effects Markov models: application to multiple sclerosis progressionMicha Mandel, Rebecca A Betensky
Biometrics|April 1, 2018
Nonparametric estimation of transition probabilities for a general progressive multi-state model under cross-sectional samplingJacobo de Uña-Álvarez, Micha Mandel
Pageof 6

Showing results (1-10 of 55) with videos related to

Sort By:
Pageof 6
Biostatistics (Oxford, England)|November 26, 2009
The competing risks illness-death model under cross-sectional samplingMicha Mandel
Statistics in Medicine|May 14, 2015
Analyzing multiple cross-sectional samples with application to hospitalization time after surgeriesMicha Mandel
Biostatistics (Oxford, England)|January 13, 2010
Estimating disease progression using panel dataMicha Mandel
Biometrics|December 10, 2009
The accelerated failure time model under biased samplingMicha Mandel, Ya'akov Ritov
Annals of Neurology|October 11, 2015
Recognizing the problem of delayed entry in time-to-event studies: Better late than never for clinical neuroscientistsRebecca A Betensky, Micha Mandel
Biometrics|August 11, 2007
Testing goodness of fit of a uniform truncation modelMicha Mandel, Rebecca A Betensky
Statistics in Medicine|November 11, 2015
Comparing estimation approaches for the illness-death model under left truncation and right censoringBella Vakulenko-Lagun, Micha Mandel
Computational Statistics & Data Analysis|January 13, 2009
Simultaneous Confidence Intervals Based on the Percentile Bootstrap ApproachMicha Mandel, Rebecca A Betensky
Biostatistics (Oxford, England)|April 22, 2008
Estimating time-to-event from longitudinal ordinal data using random-effects Markov models: application to multiple sclerosis progressionMicha Mandel, Rebecca A Betensky
Biometrics|April 1, 2018
Nonparametric estimation of transition probabilities for a general progressive multi-state model under cross-sectional samplingJacobo de Uña-Álvarez, Micha Mandel
Pageof 6