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Biometrics|April 24, 2007
Surrogate marker evaluation from an information theory perspectiveAriel Alonso, Geert Molenberghs
Statistical Methods in Medical Research|February 21, 2008
Evaluating time to cancer recurrence as a surrogate marker for survival from an information theory perspectiveAriel Alonso, Geert Molenberghs
Expert Review of Pharmacoeconomics & Outcomes Research|June 10, 2010
Surrogate end points: hopes and perilsAriel Alonso, Geert Molenberghs
Biometrics|April 12, 2007
Type I and Type II error under random-effects misspecification in generalized linear mixed modelsSaskia Litière, Ariel Alonso, Geert Molenberghs
Statistics in Medicine|February 25, 2012
Ignoring overdispersion in hierarchical loglinear models: Possible problems and solutionsElasma Milanzi, Ariel Alonso, Geert Molenberghs
Statistical Methods in Medical Research|July 25, 2024
Proportion of treatment effect explained: An overview of interpretationsFlorian Stijven, Ariel Alonso, Geert Molenberghs
Biostatistics (Oxford, England)|April 22, 2010
Testing for misspecification in generalized linear mixed modelsAriel Alonso Abad, Saskia Litière, Geert Molenberghs
Journal of Biopharmaceutical Statistics|March 11, 2008
Information theory-based surrogate marker evaluation from several randomized clinical trials with binary endpoints, using SASAbel Tilahun, Assam Pryseley, Ariel Alonso, et al.
Statistics in Medicine|November 28, 2015
Exploring the relationship between the causal-inference and meta-analytic paradigms for the evaluation of surrogate endpointsWim Van der Elst, Geert Molenberghs, Ariel Alonso
Statistical Methods in Medical Research|June 17, 2004
A perspective on surrogate endpoints in controlled clinical trialsGeert Molenberghs, Tomasz Burzykowski, Ariel Alonso, et al.
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