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Research Synthesis Methods
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February 2, 2026
Subgroup identification using individual participant data from multiple trials: An application in low back pain
Cynthia Huber, Tim Friede
Pharmaceutical Statistics
|
July 5, 2019
A comparison of subgroup identification methods in clinical drug development: Simulation study and regulatory considerations
Cynthia Huber, Norbert Benda, Tim Friede
Therapeutic Innovation & Regulatory Science
|
November 29, 2021
Classification of Companion Diagnostics: A New Framework for Biomarker-Driven Patient Selection
Cynthia Huber, Tim Friede, Julia Stingl, et al.
Clinical Pharmacology and Therapeutics
|
January 18, 2025
Methodological Insights on Biomarker-Based Patient Selection: A Review of Scientific Advice Procedures at the European Medicines Agency
Cynthia Huber, Joerg Zinserling, Norbert Benda, et al.
Canadian Journal of Public Health = Revue Canadienne De Sante Publique
|
September 15, 2017
Redirecting public oral health fluoride varnish intervention to low socio-economic status children in Alberta
Cynthia Huber, Sylvia Baran, Cindi de Graaff, et al.
Statistics in Medicine
|
February 20, 2025
A Comparison of Statistical Methods for Time-To-Event Analyses in Randomized Controlled Trials Under Non-Proportional Hazards
Florian Klinglmüller, Tobias Fellinger, Franz König, et al.
Journal of the American Heart Association
|
May 28, 2024
Lack of Prognostic Value of T-Wave Alternans for Implantable Cardioverter-Defibrillator Benefit in Primary Prevention
Ari Pelli, Tuomas V Kenttä, M Juhani Junttila, et al.
Statistical Methods in Medical Research
|
April 9, 2024
Methods for non-proportional hazards in clinical trials: A systematic review
Maximilian Bardo, Cynthia Huber, Norbert Benda, et al.
European Heart Journal. Digital Health
|
January 30, 2023
Applications of artificial intelligence/machine learning approaches in cardiovascular medicine: a systematic review with recommendations
Sarah Friedrich, Stefan Groß, Inke R König, et al.
European Heart Journal. Digital Health
|
January 24, 2024
Challenges in developing and validating machine learning models for TAVI mortality risk prediction: reply
Andreas Leha, Cynthia Huber, Tim Friede, et al.
Page
of 2
Search research articles
Search
Showing results (1-10 of 15) with videos related to
Sort By:
Page
of 2
Research Synthesis Methods
|
February 2, 2026
Subgroup identification using individual participant data from multiple trials: An application in low back pain
Cynthia Huber, Tim Friede
Pharmaceutical Statistics
|
July 5, 2019
A comparison of subgroup identification methods in clinical drug development: Simulation study and regulatory considerations
Cynthia Huber, Norbert Benda, Tim Friede
Therapeutic Innovation & Regulatory Science
|
November 29, 2021
Classification of Companion Diagnostics: A New Framework for Biomarker-Driven Patient Selection
Cynthia Huber, Tim Friede, Julia Stingl, et al.
Clinical Pharmacology and Therapeutics
|
January 18, 2025
Methodological Insights on Biomarker-Based Patient Selection: A Review of Scientific Advice Procedures at the European Medicines Agency
Cynthia Huber, Joerg Zinserling, Norbert Benda, et al.
Canadian Journal of Public Health = Revue Canadienne De Sante Publique
|
September 15, 2017
Redirecting public oral health fluoride varnish intervention to low socio-economic status children in Alberta
Cynthia Huber, Sylvia Baran, Cindi de Graaff, et al.
Statistics in Medicine
|
February 20, 2025
A Comparison of Statistical Methods for Time-To-Event Analyses in Randomized Controlled Trials Under Non-Proportional Hazards
Florian Klinglmüller, Tobias Fellinger, Franz König, et al.
Journal of the American Heart Association
|
May 28, 2024
Lack of Prognostic Value of T-Wave Alternans for Implantable Cardioverter-Defibrillator Benefit in Primary Prevention
Ari Pelli, Tuomas V Kenttä, M Juhani Junttila, et al.
Statistical Methods in Medical Research
|
April 9, 2024
Methods for non-proportional hazards in clinical trials: A systematic review
Maximilian Bardo, Cynthia Huber, Norbert Benda, et al.
European Heart Journal. Digital Health
|
January 30, 2023
Applications of artificial intelligence/machine learning approaches in cardiovascular medicine: a systematic review with recommendations
Sarah Friedrich, Stefan Groß, Inke R König, et al.
European Heart Journal. Digital Health
|
January 24, 2024
Challenges in developing and validating machine learning models for TAVI mortality risk prediction: reply
Andreas Leha, Cynthia Huber, Tim Friede, et al.
Page
of 2