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Ariel Alonso

Showing results (31-40 of 59) with videos related to

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Statistical Methods in Medical Research|July 18, 2009
A unified framework for the evaluation of surrogate endpoints in mental-health clinical trialsGeert Molenberghs, Tomasz Burzykowski, Ariel Alonso, et al.
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.
Plos One|May 6, 2024
A joint penalized spline smoothing model for the number of positive and negative COVID-19 testsDries De Witte, Ariel Alonso Abad, Thomas Neyens, et al.
Computer Methods and Programs in Biomedicine|June 27, 2026
Evaluation of surrogate endpoints for survival outcomes using the surrogate package in RDries De Witte, Geert Molenberghs, Thomas Neyens, 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.
Pageof 6

Showing results (31-40 of 59) with videos related to

Sort By:
Pageof 6
Statistical Methods in Medical Research|July 18, 2009
A unified framework for the evaluation of surrogate endpoints in mental-health clinical trialsGeert Molenberghs, Tomasz Burzykowski, Ariel Alonso, et al.
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.
Plos One|May 6, 2024
A joint penalized spline smoothing model for the number of positive and negative COVID-19 testsDries De Witte, Ariel Alonso Abad, Thomas Neyens, et al.
Computer Methods and Programs in Biomedicine|June 27, 2026
Evaluation of surrogate endpoints for survival outcomes using the surrogate package in RDries De Witte, Geert Molenberghs, Thomas Neyens, 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.
Pageof 6