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Ariel Alonso Abad

Showing results (1-10 of 12) with videos related to

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Biostatistics (Oxford, England)|April 22, 2010
Testing for misspecification in generalized linear mixed modelsAriel Alonso Abad, Saskia Litière, Geert Molenberghs
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.
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.
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.
Pharmaceutical Statistics|February 25, 2025
A Federated Data Analysis Approach for the Evaluation of Surrogate EndpointsDries De Witte, Ariel Alonso Abad, Diane Stephenson, et al.
Spatial and Spatio-Temporal Epidemiology|June 10, 2023
A multivariate spatio-temporal model for the incidence of imported COVID-19 cases and COVID-19 deaths in CubaDries De Witte, Ariel Alonso Abad, Geert Molenberghs, et al.
Biometrics|March 20, 2025
Optimal treatment regime estimation in practice: challenges and choices in a randomized clinical trial for depressionFlorian Stijven, Trung Dung Tran, Ellen Driessen, 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.
Pageof 2

Showing results (1-10 of 12) with videos related to

Sort By:
Pageof 2
Biostatistics (Oxford, England)|April 22, 2010
Testing for misspecification in generalized linear mixed modelsAriel Alonso Abad, Saskia Litière, Geert Molenberghs
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.
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.
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.
Pharmaceutical Statistics|February 25, 2025
A Federated Data Analysis Approach for the Evaluation of Surrogate EndpointsDries De Witte, Ariel Alonso Abad, Diane Stephenson, et al.
Spatial and Spatio-Temporal Epidemiology|June 10, 2023
A multivariate spatio-temporal model for the incidence of imported COVID-19 cases and COVID-19 deaths in CubaDries De Witte, Ariel Alonso Abad, Geert Molenberghs, et al.
Biometrics|March 20, 2025
Optimal treatment regime estimation in practice: challenges and choices in a randomized clinical trial for depressionFlorian Stijven, Trung Dung Tran, Ellen Driessen, 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.
Pageof 2