The optimal design of clinical trials with potential biomarker effects: A novel computational approach-Reference-Cited by-同舟云学术

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The optimal design of clinical trials with potential biomarker effects: A novel computational approach

Published:2021-01-11 Issue:7 Volume:40 Page:1752-1766
ISSN:0277-6715
Container-title:Statistics in Medicine
language:en
Short-container-title:Statistics in Medicine

Author:

Lu Yitao¹²,Zhou Julie¹,Xing Li³^ORCID,Zhang Xuekui¹^ORCID

Affiliation:

1. Department of Mathematics and Statistics University of Victoria Victoria British Columbia Canada

2. Department of Finance and Statistics University of Science and Technology of China Hefei China

3. Department of Mathematics and Statistics University of Saskatchewan Saskatoon Saskatchewan Canada

Funder

Canada Research Chairs

Natural Sciences and Engineering Research Council of Canada

Publisher

Wiley

Subject

Statistics and Probability,Epidemiology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/sim.8868

Reference22 articles.

1. Efficient, Adaptive Clinical Validation of Predictive Biomarkers in Cancer Therapeutic Development

2. Multinational Study of the Efficacy and Safety of Humanized Anti-HER2 Monoclonal Antibody in Women Who Have HER2-Overexpressing Metastatic Breast Cancer That Has Progressed After Chemotherapy for Metastatic Disease

3. Use of Chemotherapy plus a Monoclonal Antibody against HER2 for Metastatic Breast Cancer That Overexpresses HER2

4. Pembrolizumab for the Treatment of Non–Small-Cell Lung Cancer

5. Activating Mutations in the Epidermal Growth Factor Receptor Underlying Responsiveness of Non–Small-Cell Lung Cancer to Gefitinib

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1. A Vector Theory of Assessing Clinical Trials: An Application to Bioequivalence;Journal of Cardiovascular Development and Disease;2024-06-21

2. Optimal trial design selection: a comparative analysis between two-arm and three-arm trials incorporating network meta-analysis for evaluating a new treatment;BMC Medical Research Methodology;2023-11-11

3. A New Model Selection Metric for Biomarker Detection Algorithms and Tools;Journal of Mathematics;2023-07-08

4. Machine Learning Models for the Identification of Prognostic and Predictive Cancer Biomarkers: A Systematic Review;International Journal of Molecular Sciences;2023-04-24

5. Application of Group Sequential Methods to the 2-in-1 Design and Its Extensions for Interim Monitoring;Statistics in Biopharmaceutical Research;2023-04-18

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