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Ariel Alonso Abad

As seen in: Wiley Online Library, PLOS ONE
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Articles

A Federated Data Analysis Approach for the Evaluation of Surrogate Endpoints

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By Dries De Witte, Ariel Alonso Abad, Diane Stephenson, Yashmin Karten
| Wiley Online Library Verified
Conflicts of Interest The authors declare no conflicts of interest. Supporting Information Filename Description pst70003-sup-0001-Supinfo.Rapplication/Rstudio, 2.8 KB Data S1. Supporting Information. pst70003-sup-0002-Appendix.docxWord 2007 document , 139.9 KB Data S2.Appendix. References 1, , and , The Evaluation of Surrogate Endpoints (Springer, 2005). 2 US Food and Drug Administration, “Accelerated Approval – Expedited Program for Serious Conditions,” (2024).
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A joint penalized spline smoothing model for the number of positive and negative COVID-19 tests

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By Dries De Witte, KU Leuven, Ariel Alonso Abad, Thomas Neyens
| PLOS ONE
Loading metrics Open Access Peer-reviewed Research Article Citation: De Witte D, Abad AA, Neyens T, Verbeke G, Molenberghs G (2024) A joint penalized spline smoothing model for the number of positive and negative COVID-19 tests. PLoS ONE 19(5): e0303254. https://doi.org/10.1371/journal.pone.0303254 Editor: Maria Grazia Ortore, Marche Polytechnic University, ITALY Received: January 14, 2024; Accepted: April 22, 2024; Published: May 6, 2024 Copyright: © 2024 De Witte et al.
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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 evaluation - Alonso Abad - 2024 - Statistics in Medicine - Wiley Online Library

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By Ariel Alonso Abad, Florian Stijven, Fenny Ong, Johnson Beerse Belgium
| Wiley Online Library Verified
CONFLICT OF INTEREST STATEMENT Andrea Callegaro is an employee of and holds shares in the GSK group of companies. Supporting Information Filename Description sim9997-sup-0001-supinfo.pdfPDF document, 846.6 KB Appendix S1 Supplemental Material REFERENCES 1, , . The Evaluation of Surrogate Endpoints. New York: Springer-Verlag; 2005. 2, , , et al. Applied Surrogate Endpoint Evaluation Methods with SAS and R. Boca Raton, FL: Chapman & Hall/CRC; 2017. 3, . Related causal frameworks for surrogate outcomes.
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