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Ariel Alonso

Showing results (21-30 of 59) with videos related to

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Statistics in Medicine|October 13, 2005
A unifying approach for surrogate marker validation based on Prentice's criteriaAriel Alonso, Geert Molenberghs, Helena Geys, et al.
Pharmaceutical Statistics|November 26, 2014
Impact of selection bias on the evaluation of clusters of chemical compounds in the drug discovery processAriel Alonso, Elasma Milanzi, Geert Molenberghs, et al.
Statistics in Medicine|September 3, 2020
On the relationship between association and surrogacy when both the surrogate and true endpoint are binary outcomesPaul Meyvisch, Ariel Alonso, Wim Van der Elst, et al.
Pharmaceutical Statistics|December 22, 2018
Assessing the predictive value of a binary surrogate for a binary true endpoint based on the minimum probability of a prediction errorPaul Meyvisch, Ariel Alonso, Wim Van der Elst, et al.
Journal of Biopharmaceutical Statistics|July 9, 2008
Generalizability in nongaussian longitudinal clinical trial data based on generalized linear mixed modelsTony Vangeneugden, Geert Molenberghs, Annouschka Laenen, et al.
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.
Biometrics|December 21, 2004
Validation of surrogate markers in multiple randomized clinical trials with repeated measurements: canonical correlation approachAriel Alonso, Helena Geys, Geert Molenberghs, et al.
The British Journal of Mathematical and Statistical Psychology|February 4, 2014
Reliability measures in item response theory: manifest versus latent correlation functionsElasma Milanzi, Geert Molenberghs, Ariel Alonso, et al.
Journal of Biopharmaceutical Statistics|February 19, 2019
A reflection on the causal interpretation of individual-level surrogacyAriel Alonso, Wim Van Der Elst, Geert Molenberghs, et al.
Journal of Psychiatric Research|November 7, 2008
Using longitudinal data from a clinical trial in depression to assess the reliability of its outcome scalesAnnouschka Laenen, Ariel Alonso, Geert Molenberghs, et al.
Pageof 6

Showing results (21-30 of 59) with videos related to

Sort By:
Pageof 6
Statistics in Medicine|October 13, 2005
A unifying approach for surrogate marker validation based on Prentice's criteriaAriel Alonso, Geert Molenberghs, Helena Geys, et al.
Pharmaceutical Statistics|November 26, 2014
Impact of selection bias on the evaluation of clusters of chemical compounds in the drug discovery processAriel Alonso, Elasma Milanzi, Geert Molenberghs, et al.
Statistics in Medicine|September 3, 2020
On the relationship between association and surrogacy when both the surrogate and true endpoint are binary outcomesPaul Meyvisch, Ariel Alonso, Wim Van der Elst, et al.
Pharmaceutical Statistics|December 22, 2018
Assessing the predictive value of a binary surrogate for a binary true endpoint based on the minimum probability of a prediction errorPaul Meyvisch, Ariel Alonso, Wim Van der Elst, et al.
Journal of Biopharmaceutical Statistics|July 9, 2008
Generalizability in nongaussian longitudinal clinical trial data based on generalized linear mixed modelsTony Vangeneugden, Geert Molenberghs, Annouschka Laenen, et al.
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.
Biometrics|December 21, 2004
Validation of surrogate markers in multiple randomized clinical trials with repeated measurements: canonical correlation approachAriel Alonso, Helena Geys, Geert Molenberghs, et al.
The British Journal of Mathematical and Statistical Psychology|February 4, 2014
Reliability measures in item response theory: manifest versus latent correlation functionsElasma Milanzi, Geert Molenberghs, Ariel Alonso, et al.
Journal of Biopharmaceutical Statistics|February 19, 2019
A reflection on the causal interpretation of individual-level surrogacyAriel Alonso, Wim Van Der Elst, Geert Molenberghs, et al.
Journal of Psychiatric Research|November 7, 2008
Using longitudinal data from a clinical trial in depression to assess the reliability of its outcome scalesAnnouschka Laenen, Ariel Alonso, Geert Molenberghs, et al.
Pageof 6