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Statistical Methods in Medical Research
|
June 17, 2004
A perspective on surrogate endpoints in controlled clinical trials
Geert Molenberghs, Tomasz Burzykowski, Ariel Alonso, et al.
Statistics in Medicine
|
December 15, 2016
Assessing a surrogate predictive value: a causal inference approach
Ariel Alonso, Wim Van der Elst, Paul Meyvisch
Statistics in Medicine
|
August 25, 2018
A maximum entropy approach for the evaluation of surrogate endpoints based on causal inference
Ariel Alonso, Wim Van der Elst, Geert Molenberghs
Journal of Biopharmaceutical Statistics
|
February 13, 2009
Evaluation of biomarkers for pharmacological activity
Ariel Alonso, Geert Molenberghs, Didier Renard, et al.
Clinical Trials (London, England)
|
November 29, 2007
Information-theory based surrogate marker evaluation from several randomized clinical trials with continuous true and binary surrogate endpoints
Assam Pryseley, Abel Tilahun, Ariel Alonso, et al.
Journal of Biopharmaceutical Statistics
|
November 5, 2002
Investigating the criterion validity of psychiatric symptom scales using surrogate marker validation methodology
Ariel Alonso, Helena Geys, Geert Molenberghs, et al.
Lifetime Data Analysis
|
September 30, 2010
An information-theoretic approach to surrogate-marker evaluation with failure time endpoints
Assam Pryseley, Abel Tilahun, Ariel Alonso, et al.
Journal of Biopharmaceutical Statistics
|
March 11, 2008
Information theory-based surrogate marker evaluation from several randomized clinical trials with binary endpoints, using SAS
Abel Tilahun, Assam Pryseley, Ariel Alonso, et al.
Biometrics
|
January 15, 2010
A unified approach to multi-item reliability
Ariel Alonso, Annouschka Laenen, Geert Molenberghs, et al.
Statistics in Medicine
|
February 24, 2015
A new modeling approach for quantifying expert opinion in the drug discovery process
Ariel Alonso, Elasma Milanzi, Geert Molenberghs, et al.
Page
of 6
Search research articles
Search
Showing results (11-20 of 59) with videos related to
Sort By:
Page
of 6
Statistical Methods in Medical Research
|
June 17, 2004
A perspective on surrogate endpoints in controlled clinical trials
Geert Molenberghs, Tomasz Burzykowski, Ariel Alonso, et al.
Statistics in Medicine
|
December 15, 2016
Assessing a surrogate predictive value: a causal inference approach
Ariel Alonso, Wim Van der Elst, Paul Meyvisch
Statistics in Medicine
|
August 25, 2018
A maximum entropy approach for the evaluation of surrogate endpoints based on causal inference
Ariel Alonso, Wim Van der Elst, Geert Molenberghs
Journal of Biopharmaceutical Statistics
|
February 13, 2009
Evaluation of biomarkers for pharmacological activity
Ariel Alonso, Geert Molenberghs, Didier Renard, et al.
Clinical Trials (London, England)
|
November 29, 2007
Information-theory based surrogate marker evaluation from several randomized clinical trials with continuous true and binary surrogate endpoints
Assam Pryseley, Abel Tilahun, Ariel Alonso, et al.
Journal of Biopharmaceutical Statistics
|
November 5, 2002
Investigating the criterion validity of psychiatric symptom scales using surrogate marker validation methodology
Ariel Alonso, Helena Geys, Geert Molenberghs, et al.
Lifetime Data Analysis
|
September 30, 2010
An information-theoretic approach to surrogate-marker evaluation with failure time endpoints
Assam Pryseley, Abel Tilahun, Ariel Alonso, et al.
Journal of Biopharmaceutical Statistics
|
March 11, 2008
Information theory-based surrogate marker evaluation from several randomized clinical trials with binary endpoints, using SAS
Abel Tilahun, Assam Pryseley, Ariel Alonso, et al.
Biometrics
|
January 15, 2010
A unified approach to multi-item reliability
Ariel Alonso, Annouschka Laenen, Geert Molenberghs, et al.
Statistics in Medicine
|
February 24, 2015
A new modeling approach for quantifying expert opinion in the drug discovery process
Ariel Alonso, Elasma Milanzi, Geert Molenberghs, et al.
Page
of 6