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Pharmaceutical Statistics|September 29, 2024
Assessing the Operational Characteristics of the Individual Causal Association as a Metric of Surrogacy in the Binary Continuous SettingFenny Ong, Geert Molenberghs, Andrea Callegaro, et al.Biometrics|August 21, 2003
The use of score tests for inference on variance componentsGeert Verbeke, Geert MolenberghsBiostatistics (Oxford, England)|February 5, 2013
The gradient function as an exploratory goodness-of-fit assessment of the random-effects distribution in mixed modelsGeert Verbeke, Geert MolenberghsPsychological Methods|March 6, 2013
Modeling actor and partner effects in dyadic data when outcomes are categoricalTom Loeys, Geert MolenberghsJournal of Biopharmaceutical Statistics|October 22, 2013
A multilevel model for hierarchical, repeated, and overdispersed time-to-event outcomes and its estimation strategiesAchmad Efendi, Geert MolenberghsJournal of Global Infectious Diseases|April 28, 2025
Evaluating Hemagglutination Inhibition Antibody Titers as a Correlate of Protection for Influenza: A Sensitivity Analysis Based on Information Theory and Causal InferenceFenny Ong, Geert Molenberghs, Andrea Callegaro, et al.Statistics in Medicine|January 2, 2024
An information-theoretic approach for the assessment of a continuous outcome as a surrogate for a binary true endpoint based on causal inference: Application to vaccine evaluationAriel Alonso Abad, Fenny Ong, Florian Stijven, et al.Journal of Biopharmaceutical Statistics|January 8, 2009
Investigating association between behavior, corticosterone, heart rate, and blood pressure in rats using surrogate marker evaluation methodologyAbel Tilahun, John T Maringwa, Helena Geys, et al.Test (Madrid, Spain)|September 28, 2011
Missing data methods in longitudinal studies: a reviewJoseph G Ibrahim, Geert MolenberghsJournal of Biopharmaceutical Statistics|February 26, 2010
Last observation carried forward: a crystal ball?Michael G Kenward, Geert MolenberghsPageof 34