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

Ekkehard Glimm

Showing results (1-10 of 44) with videos related to

Pageof 5
Sort By:
Biometrical Journal. Biometrische Zeitschrift|November 27, 2018
Adjusting for selection bias in assessing treatment effect estimates from multiple subgroupsEkkehard Glimm
Statistics in Medicine|January 4, 2012
Comments on 'Adaptive increase in sample size when interim results are promising: a practical guide with examples' by C. R. Mehta and S. J. PocockEkkehard Glimm
Biometrics|April 2, 2009
Letter to the editor "Comment on Qiu and Hwang (2007), Biometrics 63, 767-776"Ekkehard Glimm
Biometrical Journal. Biometrische Zeitschrift|July 30, 2010
Directional multivariate tests rejecting null and negative effects in all variablesEkkehard Glimm, Jürgen Läuter
Pharmaceutical Statistics|March 28, 2022
Geometric approaches to assessing the numerical feasibility for conducting matching-adjusted indirect comparisonsEkkehard Glimm, Lillian Yau
Biometrical Journal. Biometrische Zeitschrift|February 3, 2006
The contribution of Jürgen Läuter to multivariate statisticsSiegfried Kropf, Ekkehard Glimm
Biometrical Journal. Biometrische Zeitschrift|July 30, 2008
Unbiased estimation of selected treatment means in two-stage trialsJack Bowden, Ekkehard Glimm
Journal of Biopharmaceutical Statistics|June 15, 2018
Comments on "A Bayesian meta-analysis method for estimating risk difference of rare events"Björn Holzhauer, Ekkehard Glimm
Biometrical Journal. Biometrische Zeitschrift|December 20, 2013
Conditionally unbiased and near unbiased estimation of the selected treatment mean for multistage drop-the-losers trialsJack Bowden, Ekkehard Glimm
Statistics in Medicine|October 11, 2018
Power analysis for multivariable Cox regression modelsEmil Scosyrev, Ekkehard Glimm
Pageof 5

Showing results (1-10 of 44) with videos related to

Sort By:
Pageof 5
Biometrical Journal. Biometrische Zeitschrift|November 27, 2018
Adjusting for selection bias in assessing treatment effect estimates from multiple subgroupsEkkehard Glimm
Statistics in Medicine|January 4, 2012
Comments on 'Adaptive increase in sample size when interim results are promising: a practical guide with examples' by C. R. Mehta and S. J. PocockEkkehard Glimm
Biometrics|April 2, 2009
Letter to the editor "Comment on Qiu and Hwang (2007), Biometrics 63, 767-776"Ekkehard Glimm
Biometrical Journal. Biometrische Zeitschrift|July 30, 2010
Directional multivariate tests rejecting null and negative effects in all variablesEkkehard Glimm, Jürgen Läuter
Pharmaceutical Statistics|March 28, 2022
Geometric approaches to assessing the numerical feasibility for conducting matching-adjusted indirect comparisonsEkkehard Glimm, Lillian Yau
Biometrical Journal. Biometrische Zeitschrift|February 3, 2006
The contribution of Jürgen Läuter to multivariate statisticsSiegfried Kropf, Ekkehard Glimm
Biometrical Journal. Biometrische Zeitschrift|July 30, 2008
Unbiased estimation of selected treatment means in two-stage trialsJack Bowden, Ekkehard Glimm
Journal of Biopharmaceutical Statistics|June 15, 2018
Comments on "A Bayesian meta-analysis method for estimating risk difference of rare events"Björn Holzhauer, Ekkehard Glimm
Biometrical Journal. Biometrische Zeitschrift|December 20, 2013
Conditionally unbiased and near unbiased estimation of the selected treatment mean for multistage drop-the-losers trialsJack Bowden, Ekkehard Glimm
Statistics in Medicine|October 11, 2018
Power analysis for multivariable Cox regression modelsEmil Scosyrev, Ekkehard Glimm
Pageof 5