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

Allan R Sampson

Showing results (1-10 of 52) with videos related to

Pageof 6
Sort By:
Journal of Statistical Planning and Inference|July 14, 2015
Simultaneous Confidence Band for the Difference of Segmented Linear ModelsGreg Yothers, Allan R Sampson
Computational Statistics & Data Analysis|February 18, 2010
Mixture modeling with applications in schizophrenia researchQiang Wu, Allan R Sampson
Computational Statistics & Data Analysis|January 5, 2010
Drop-the-Losers Design: Binomial CaseMichael W Sill, Allan R Sampson
Statistics in Medicine|October 15, 2013
A model for repeated clustered data with informative cluster sizesAna-Maria Iosif, Allan R Sampson
Biometrical Journal. Biometrische Zeitschrift|August 2, 2005
Drop-the-losers design: normal caseAllan R Sampson, Michael W Sill
Statistics in Biopharmaceutical Research|August 14, 2009
On Identifying Minimum Efficacious Doses in Combination Drug TrialsJulia N Soulakova, Allan R Sampson
Pharmaceutical Statistics|March 8, 2012
Expected loss functions as additional measures to assess performance of multiple testing procedures for combination drug dose findingJulia N Soulakova, Allan R Sampson
Biometrics|September 11, 2007
Multivariate bernoulli mixture models with application to postmortem tissue studies in schizophreniaZhuoxin Sun, Ori Rosen, Allan R Sampson
Biostatistics (Oxford, England)|May 19, 2017
Covariate adjusted classification treesJosephine K Asafu-Adjei, Allan R Sampson
Communications in Statistics: Simulation and Computation|February 10, 2015
EM Estimation for Finite Mixture Models with Known Mixture Component SizeChen Teel, Taeyoung Park, Allan R Sampson
Pageof 6

Showing results (1-10 of 52) with videos related to

Sort By:
Pageof 6
Journal of Statistical Planning and Inference|July 14, 2015
Simultaneous Confidence Band for the Difference of Segmented Linear ModelsGreg Yothers, Allan R Sampson
Computational Statistics & Data Analysis|February 18, 2010
Mixture modeling with applications in schizophrenia researchQiang Wu, Allan R Sampson
Computational Statistics & Data Analysis|January 5, 2010
Drop-the-Losers Design: Binomial CaseMichael W Sill, Allan R Sampson
Statistics in Medicine|October 15, 2013
A model for repeated clustered data with informative cluster sizesAna-Maria Iosif, Allan R Sampson
Biometrical Journal. Biometrische Zeitschrift|August 2, 2005
Drop-the-losers design: normal caseAllan R Sampson, Michael W Sill
Statistics in Biopharmaceutical Research|August 14, 2009
On Identifying Minimum Efficacious Doses in Combination Drug TrialsJulia N Soulakova, Allan R Sampson
Pharmaceutical Statistics|March 8, 2012
Expected loss functions as additional measures to assess performance of multiple testing procedures for combination drug dose findingJulia N Soulakova, Allan R Sampson
Biometrics|September 11, 2007
Multivariate bernoulli mixture models with application to postmortem tissue studies in schizophreniaZhuoxin Sun, Ori Rosen, Allan R Sampson
Biostatistics (Oxford, England)|May 19, 2017
Covariate adjusted classification treesJosephine K Asafu-Adjei, Allan R Sampson
Communications in Statistics: Simulation and Computation|February 10, 2015
EM Estimation for Finite Mixture Models with Known Mixture Component SizeChen Teel, Taeyoung Park, Allan R Sampson
Pageof 6