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Kathleen F Kerr

Showing results (1-10 of 136) with videos related to

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Statistical Applications in Genetics and Molecular Biology|April 14, 2012
Optimality criteria for the design of 2-color microarray studiesKathleen F Kerr
BMC Bioinformatics|October 5, 2007
Extended analysis of benchmark datasets for Agilent two-color microarraysKathleen F Kerr
Radiology|November 15, 2022
Net Reclassification Index Statistics Do Not Help Assess New Risk ModelsKathleen F Kerr
Bioinformatics (Oxford, England)|June 17, 2009
Comments on the analysis of unbalanced microarray dataKathleen F Kerr
Scientifica|November 27, 2013
A comparison of two classes of methods for estimating false discovery rates in microarray studiesEmily Hansen, Kathleen F Kerr
Statistics in Medicine|November 21, 2017
First things first: risk model performance metrics should reflect the clinical applicationKathleen F Kerr, Holly Janes
Epidemiology (Cambridge, Mass.)|October 5, 2011
Joint modeling, covariate adjustment, and interaction: contrasting notions in risk prediction models and risk prediction performanceKathleen F Kerr, Margaret S Pepe
Nucleic Acids Research|October 14, 2004
Empirical evaluation of data transformations and ranking statistics for microarray analysisLi-Xuan Qin, Kathleen F Kerr,
Nature Human Behaviour|May 28, 2026
Methodological considerations for evaluating policy impacts on transgender and non-binary youth suicidalityJ Cohn, Peter Sim, Kathleen F Kerr
Nature Human Behaviour|June 11, 2026
Author Correction: Methodological considerations for evaluating policy impacts on transgender and non-binary youth suicidalityJ Cohn, Peter Sim, Kathleen F Kerr
Pageof 14

Showing results (1-10 of 136) with videos related to

Sort By:
Pageof 14
Statistical Applications in Genetics and Molecular Biology|April 14, 2012
Optimality criteria for the design of 2-color microarray studiesKathleen F Kerr
BMC Bioinformatics|October 5, 2007
Extended analysis of benchmark datasets for Agilent two-color microarraysKathleen F Kerr
Radiology|November 15, 2022
Net Reclassification Index Statistics Do Not Help Assess New Risk ModelsKathleen F Kerr
Bioinformatics (Oxford, England)|June 17, 2009
Comments on the analysis of unbalanced microarray dataKathleen F Kerr
Scientifica|November 27, 2013
A comparison of two classes of methods for estimating false discovery rates in microarray studiesEmily Hansen, Kathleen F Kerr
Statistics in Medicine|November 21, 2017
First things first: risk model performance metrics should reflect the clinical applicationKathleen F Kerr, Holly Janes
Epidemiology (Cambridge, Mass.)|October 5, 2011
Joint modeling, covariate adjustment, and interaction: contrasting notions in risk prediction models and risk prediction performanceKathleen F Kerr, Margaret S Pepe
Nucleic Acids Research|October 14, 2004
Empirical evaluation of data transformations and ranking statistics for microarray analysisLi-Xuan Qin, Kathleen F Kerr,
Nature Human Behaviour|May 28, 2026
Methodological considerations for evaluating policy impacts on transgender and non-binary youth suicidalityJ Cohn, Peter Sim, Kathleen F Kerr
Nature Human Behaviour|June 11, 2026
Author Correction: Methodological considerations for evaluating policy impacts on transgender and non-binary youth suicidalityJ Cohn, Peter Sim, Kathleen F Kerr
Pageof 14