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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 KerrBMC Bioinformatics|October 5, 2007
Extended analysis of benchmark datasets for Agilent two-color microarraysKathleen F KerrRadiology|November 15, 2022
Net Reclassification Index Statistics Do Not Help Assess New Risk ModelsKathleen F KerrBioinformatics (Oxford, England)|June 17, 2009
Comments on the analysis of unbalanced microarray dataKathleen F KerrScientifica|November 27, 2013
A comparison of two classes of methods for estimating false discovery rates in microarray studiesEmily Hansen, Kathleen F KerrStatistics in Medicine|November 21, 2017
First things first: risk model performance metrics should reflect the clinical applicationKathleen F Kerr, Holly JanesEpidemiology (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 PepeNucleic Acids Research|October 14, 2004
Empirical evaluation of data transformations and ranking statistics for microarray analysisLi-Xuan Qin, Kathleen F Kerr, Statistics in Medicine|August 15, 2020
Developing biomarker combinations in multicenter studies via direct maximization and penalizationAllison Meisner, Chirag R Parikh, Kathleen F KerrStatistical Methods in Medical Research|November 22, 2017
Biomarker combinations for diagnosis and prognosis in multicenter studies: Principles and methodsAllison Meisner, Chirag R Parikh, Kathleen F KerrPageof 54