Comparison of crossover and parallel‐group designs for the identification of a binary predictive biomarker of the treatment effect-Reference-Cited by-同舟云学术

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Comparison of crossover and parallel‐group designs for the identification of a binary predictive biomarker of the treatment effect

Published:2019-08-28 Issue:1 Volume:126 Page:59-64
ISSN:1742-7835
Container-title:Basic & Clinical Pharmacology & Toxicology
language:en
Short-container-title:Basic Clin Pharmacol Toxicol

Author:

Grenet Guillaume¹²,Blanc Corentin²³,Bardel Claire²⁴,Gueyffier François¹²,Roy Pascal²⁴

Affiliation:

1. Department of Pharmacotoxicology University Hospital Hospices Civils de LYON (HCL) Lyon France

2. CNRS, UMR5558, Laboratory of Biometry and Evolutionary Biology Lyon 1 University Lyon France

3. Department of Applied Mathematics and Modelization Polytech Lyon Lyon France

4. Department of Biostatistics, Hospices Civils de LYON (HCL) University Hospital Lyon France

Publisher

Wiley

Subject

Pharmacology,Toxicology,General Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/bcpt.13293

Reference16 articles.

1. Integrating biomarkers in clinical trials

2. An in silico approach helped to identify the best experimental design, population, and outcome for future randomized clinical trials

3. A NOTE ON RELATIVE EFFICIENCY IN CLINICAL TRIALS

4. The Crossover Experiment for Clinical Trials

5. Efficiency of the cross-over design: an empirical estimation

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1. Facilitating healthcare dieticians' communication skills: A reflective practice intervention;International Journal of Training and Development;2023-07-31

2. Optimizing Aggregated N-Of-1 Trial Designs for Predictive Biomarker Validation: Statistical Methods and Theoretical Findings;Frontiers in Digital Health;2020-08-28

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