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The Annals of Applied Statistics
|
August 30, 2021
MODEL-BASED FEATURE SELECTION AND CLUSTERING OF RNA-SEQ DATA FOR UNSUPERVISED SUBTYPE DISCOVERY
David K Lim, Naim U Rashid, Joseph G Ibrahim
Biostatistics (Oxford, England)
|
June 30, 2022
A hierarchical prior for generalized linear models based on predictions for the mean response
Ethan M Alt, Matthew A Psioda, Joseph G Ibrahim
Journal of the Royal Statistical Society. Series B, Statistical Methodology
|
May 23, 2017
Regression Models on Riemannian Symmetric Spaces
Emil Cornea, Hongtu Zhu, Peter Kim, et al.
Biometrics
|
May 14, 2019
Improved detection of epigenomic marks with mixed-effects hidden Markov models
Pedro L Baldoni, Naim U Rashid, Joseph G Ibrahim
British Journal of Haematology
|
February 1, 1979
Ethanol inhibition of rabbit reticulocyte haem synthesis at the level of delta-aminolaevulinic acid synthetase
N G Ibrahim, P J Spieler, M L Freedman
Biometrics
|
March 14, 2002
Frailty models with missing covariates
Amy H Herring, Joseph G Ibrahim, Stuart R Lipsitz
FEBS Letters
|
January 1, 1973
Mitochondrial protein synthesis in vitro is not an artifact
N G. Ibrahim, J P. Burke, D S. Beattie
Biometrics
|
September 2, 2017
FLCRM: Functional linear cox regression model
Dehan Kong, Joseph G Ibrahim, Eunjee Lee, et al.
Journal of the American Statistical Association
|
October 29, 2014
Bayesian Generalized Low Rank Regression Models for Neuroimaging Phenotypes and Genetic Markers
Hongtu Zhu, Zakaria Khondker, Zhaohua Lu, et al.
Biometrics
|
April 25, 2001
Monte Carlo EM for missing covariates in parametric regression models
J G Ibrahim, M H Chen, S R Lipsitz
Page
of 52
Search research articles
Search
Showing results (131-140 of 514) with videos related to
Sort By:
Page
of 52
The Annals of Applied Statistics
|
August 30, 2021
MODEL-BASED FEATURE SELECTION AND CLUSTERING OF RNA-SEQ DATA FOR UNSUPERVISED SUBTYPE DISCOVERY
David K Lim, Naim U Rashid, Joseph G Ibrahim
Biostatistics (Oxford, England)
|
June 30, 2022
A hierarchical prior for generalized linear models based on predictions for the mean response
Ethan M Alt, Matthew A Psioda, Joseph G Ibrahim
Journal of the Royal Statistical Society. Series B, Statistical Methodology
|
May 23, 2017
Regression Models on Riemannian Symmetric Spaces
Emil Cornea, Hongtu Zhu, Peter Kim, et al.
Biometrics
|
May 14, 2019
Improved detection of epigenomic marks with mixed-effects hidden Markov models
Pedro L Baldoni, Naim U Rashid, Joseph G Ibrahim
British Journal of Haematology
|
February 1, 1979
Ethanol inhibition of rabbit reticulocyte haem synthesis at the level of delta-aminolaevulinic acid synthetase
N G Ibrahim, P J Spieler, M L Freedman
Biometrics
|
March 14, 2002
Frailty models with missing covariates
Amy H Herring, Joseph G Ibrahim, Stuart R Lipsitz
FEBS Letters
|
January 1, 1973
Mitochondrial protein synthesis in vitro is not an artifact
N G. Ibrahim, J P. Burke, D S. Beattie
Biometrics
|
September 2, 2017
FLCRM: Functional linear cox regression model
Dehan Kong, Joseph G Ibrahim, Eunjee Lee, et al.
Journal of the American Statistical Association
|
October 29, 2014
Bayesian Generalized Low Rank Regression Models for Neuroimaging Phenotypes and Genetic Markers
Hongtu Zhu, Zakaria Khondker, Zhaohua Lu, et al.
Biometrics
|
April 25, 2001
Monte Carlo EM for missing covariates in parametric regression models
J G Ibrahim, M H Chen, S R Lipsitz
Page
of 52