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Statistics in Medicine|August 25, 2018
A maximum entropy approach for the evaluation of surrogate endpoints based on causal inferenceAriel Alonso, Wim Van der Elst, Geert Molenberghs
Journal of Biopharmaceutical Statistics|February 13, 2009
Evaluation of biomarkers for pharmacological activityAriel Alonso, Geert Molenberghs, Didier Renard, et al.
Clinical Trials (London, England)|November 29, 2007
Information-theory based surrogate marker evaluation from several randomized clinical trials with continuous true and binary surrogate endpointsAssam Pryseley, Abel Tilahun, Ariel Alonso, et al.
Journal of Biopharmaceutical Statistics|November 5, 2002
Investigating the criterion validity of psychiatric symptom scales using surrogate marker validation methodologyAriel Alonso, Helena Geys, Geert Molenberghs, et al.
Lifetime Data Analysis|September 30, 2010
An information-theoretic approach to surrogate-marker evaluation with failure time endpointsAssam Pryseley, Abel Tilahun, Ariel Alonso, et al.
Statistics in Medicine|September 3, 2020
On the relationship between association and surrogacy when both the surrogate and true endpoint are binary outcomesPaul Meyvisch, Ariel Alonso, Wim Van der Elst, et al.
Pharmaceutical Statistics|December 22, 2018
Assessing the predictive value of a binary surrogate for a binary true endpoint based on the minimum probability of a prediction errorPaul Meyvisch, Ariel Alonso, Wim Van der Elst, et al.
Journal of Biopharmaceutical Statistics|July 9, 2008
Generalizability in nongaussian longitudinal clinical trial data based on generalized linear mixed modelsTony Vangeneugden, Geert Molenberghs, Annouschka Laenen, et al.
Journal of Biopharmaceutical Statistics|October 27, 2018
A closed-form estimator for meta-analysis and surrogate markers evaluationAlvaro J Flórez, Geert Molenberghs, Geert Verbeke, et al.
Statistics in Medicine|February 24, 2015
A new modeling approach for quantifying expert opinion in the drug discovery processAriel Alonso, Elasma Milanzi, Geert Molenberghs, et al.
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