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Transplant International : Official Journal of the European Society for Organ Transplantation|November 30, 2016
Five myths about variable selectionGeorg Heinze, Daniela DunklerStatistics in Medicine|September 26, 2008
Avoiding infinite estimates of time-dependent effects in small-sample survival studiesGeorg Heinze, Daniela DunklerBioinformatics (Oxford, England)|February 2, 2010
Gene selection in microarray survival studies under possibly non-proportional hazardsDaniela Dunkler, Michael Schemper, Georg HeinzeBiometrical Journal. Biometrische Zeitschrift|January 3, 2018
Variable selection - A review and recommendations for the practicing statisticianGeorg Heinze, Christine Wallisch, Daniela DunklerMethods in Molecular Biology (Clifton, N.J.)|March 4, 2011
Statistical analysis principles for Omics dataDaniela Dunkler, Fátima Sánchez-Cabo, Georg HeinzeInternational Journal of Environmental Research and Public Health|April 30, 2021
Regression with Highly Correlated Predictors: Variable Omission Is Not the SolutionMariella Gregorich, Susanne Strohmaier, Daniela Dunkler, et al.Plos One|November 22, 2014
Augmented backward elimination: a pragmatic and purposeful way to develop statistical modelsDaniela Dunkler, Max Plischke, Karen Leffondré, et al.BMC Medical Research Methodology|July 26, 2022
Evaluating methods for Lasso selective inference in biomedical research: a comparative simulation studyMichael Kammer, Daniela Dunkler, Stefan Michiels, et al.Journal of Clinical Epidemiology|July 22, 2026
A preregistered simulation study provided evidence on the appropriate use of data-driven variable selection in descriptive multivariable regression modelingTheresa Ullmann, Georg Heinze, Michael Kammer, et al.Transplant International : Official Journal of the European Society for Organ Transplantation|September 28, 2019
To test or to estimate? P-values versus effect sizesDaniela Dunkler, Maria Haller, Rainer Oberbauer, et al.Pageof 34