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Frontiers in Bioscience (Elite Edition)
|
December 29, 2009
Application and review of the separate ray model to investigate interaction effects
Roel Straetemans, Luc Bijnens
Briefings in Bioinformatics
|
October 3, 2017
A broken promise: microbiome differential abundance methods do not control the false discovery rate
Stijn Hawinkel, Federico Mattiello, Luc Bijnens, et al.
Plos One
|
February 14, 2019
A unified framework for unconstrained and constrained ordination of microbiome read count data
Stijn Hawinkel, Frederiek-Maarten Kerckhof, Luc Bijnens, et al.
Pharmaceutical Statistics
|
November 26, 2014
Impact of selection bias on the evaluation of clusters of chemical compounds in the drug discovery process
Ariel Alonso, Elasma Milanzi, Geert Molenberghs, et al.
Plos One
|
May 1, 2020
Sequence count data are poorly fit by the negative binomial distribution
Stijn Hawinkel, J C W Rayner, Luc Bijnens, et al.
Statistics in Medicine
|
April 5, 2002
Selection models and pattern-mixture models to analyse longitudinal quality of life data subject to drop-out
Bart Michiels, Geert Molenberghs, Luc Bijnens, et al.
Statistics in Medicine
|
February 24, 2015
A new modeling approach for quantifying expert opinion in the drug discovery process
Ariel Alonso, Elasma Milanzi, Geert Molenberghs, et al.
NAR Genomics and Bioinformatics
|
February 12, 2021
Model-based joint visualization of multiple compositional omics datasets
Stijn Hawinkel, Luc Bijnens, Kim-Anh Lê Cao, et al.
Journal of Biopharmaceutical Statistics
|
March 31, 2005
A hierarchical Binomial-Poisson model for the analysis of a crossover design for correlated binary data when the number of trials is dose-dependent
Ziv Shkedy, Geert Molenberghs, Hansfried Van Craenendonck, et al.
Journal of Biopharmaceutical Statistics
|
May 25, 2010
A latent pharmacokinetic time profile to model dose-response survival data
Tom Jacobs, Roel Straetemans, Geert Molenberghs, et al.
Page
of 5
Search research articles
Search
Showing results (1-10 of 48) with videos related to
Sort By:
Page
of 5
Frontiers in Bioscience (Elite Edition)
|
December 29, 2009
Application and review of the separate ray model to investigate interaction effects
Roel Straetemans, Luc Bijnens
Briefings in Bioinformatics
|
October 3, 2017
A broken promise: microbiome differential abundance methods do not control the false discovery rate
Stijn Hawinkel, Federico Mattiello, Luc Bijnens, et al.
Plos One
|
February 14, 2019
A unified framework for unconstrained and constrained ordination of microbiome read count data
Stijn Hawinkel, Frederiek-Maarten Kerckhof, Luc Bijnens, et al.
Pharmaceutical Statistics
|
November 26, 2014
Impact of selection bias on the evaluation of clusters of chemical compounds in the drug discovery process
Ariel Alonso, Elasma Milanzi, Geert Molenberghs, et al.
Plos One
|
May 1, 2020
Sequence count data are poorly fit by the negative binomial distribution
Stijn Hawinkel, J C W Rayner, Luc Bijnens, et al.
Statistics in Medicine
|
April 5, 2002
Selection models and pattern-mixture models to analyse longitudinal quality of life data subject to drop-out
Bart Michiels, Geert Molenberghs, Luc Bijnens, et al.
Statistics in Medicine
|
February 24, 2015
A new modeling approach for quantifying expert opinion in the drug discovery process
Ariel Alonso, Elasma Milanzi, Geert Molenberghs, et al.
NAR Genomics and Bioinformatics
|
February 12, 2021
Model-based joint visualization of multiple compositional omics datasets
Stijn Hawinkel, Luc Bijnens, Kim-Anh Lê Cao, et al.
Journal of Biopharmaceutical Statistics
|
March 31, 2005
A hierarchical Binomial-Poisson model for the analysis of a crossover design for correlated binary data when the number of trials is dose-dependent
Ziv Shkedy, Geert Molenberghs, Hansfried Van Craenendonck, et al.
Journal of Biopharmaceutical Statistics
|
May 25, 2010
A latent pharmacokinetic time profile to model dose-response survival data
Tom Jacobs, Roel Straetemans, Geert Molenberghs, et al.
Page
of 5