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Biometrics|February 12, 2016
An information-theoretic approach for the evaluation of surrogate endpoints based on causal inferenceAriel Alonso, Wim Van der Elst, Geert Molenberghs, et al.Controlled Clinical Trials|December 31, 2002
Statistical challenges in the evaluation of surrogate endpoints in randomized trialsGeert Molenberghs, Marc Buyse, Helena Geys, et al.Journal of Biopharmaceutical Statistics|January 29, 2019
A reflection on the possibility of finding a good surrogateAriel Alonso, Paul Meyvisch, Wim Van der Elst, et al.Biometrics|October 31, 2020
Identifying individual predictive factors for treatment efficacyAriel Alonso, Wim Van der Elst, Lizet Sanchez, et al.Biometrics|October 3, 2014
On the relationship between the causal-inference and meta-analytic paradigms for the validation of surrogate endpointsAriel Alonso, Wim Van der Elst, Geert Molenberghs, et al.Pharmaceutical Statistics|May 21, 2021
The individual-level surrogate threshold effect in a causal-inference setting with normally distributed endpointsWim Van der Elst, Ariel Alonso Abad, Hans Coppenolle, et al.Lifetime Data Analysis|October 13, 2024
Evaluating time-to-event surrogates for time-to-event true endpoints: an information-theoretic approach based on causal inferenceFlorian Stijven, Geert Molenberghs, Ingrid Van Keilegom, et al.Biometrical Journal. Biometrische Zeitschrift|September 22, 2023
Reflections on the concept of optimality of single decision point treatment regimesTrung Dung Tran, Ariel Alonso Abad, Geert Verbeke, et al.Journal of Biopharmaceutical Statistics|December 27, 2021
Implementing the meta-analytic approach for the evaluation of surrogate endpoints in SAS and R: a word of cautionFenny Ong, Jingzhao Wang, Wim Van der Elst, et al.Statistics in Medicine|May 18, 2026
Time-Scale Target Parameters and Two-Step Estimation in Longitudinal Trials for Progressive DiseasesFlorian Stijven, Craig Mallinckrodt, Geert Molenberghs, et al.Pageof 34