Adaptive Designs for Confirmatory Clinical Trials with Subgroup Selection
Article Properties
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LanguageEnglish
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DOI (url)
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Publication Date2014/01/02
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Indian UGC (journal)
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Refrences42
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Citations47
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Nigel Stallard a Warwick Medical School , University of Warwick , Coventry , United Kingdom
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Thomas Hamborg a Warwick Medical School , University of Warwick , Coventry , United Kingdom
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Nicholas Parsons a Warwick Medical School , University of Warwick , Coventry , United Kingdom
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Tim Friede b Department of Medical Statistics , University Medical Center Göttingen , Göttingen , Germany
Cite
Stallard, Nigel, et al. “Adaptive Designs for Confirmatory Clinical Trials With Subgroup Selection”. Journal of Biopharmaceutical Statistics, vol. 24, no. 1, 2014, pp. 168-87, https://doi.org/10.1080/10543406.2013.857238.
Stallard, N., Hamborg, T., Parsons, N., & Friede, T. (2014). Adaptive Designs for Confirmatory Clinical Trials with Subgroup Selection. Journal of Biopharmaceutical Statistics, 24(1), 168-187. https://doi.org/10.1080/10543406.2013.857238
Stallard, Nigel, Thomas Hamborg, Nicholas Parsons, and Tim Friede. “Adaptive Designs for Confirmatory Clinical Trials With Subgroup Selection”. Journal of Biopharmaceutical Statistics 24, no. 1 (2014): 168-87. https://doi.org/10.1080/10543406.2013.857238.
Stallard N, Hamborg T, Parsons N, Friede T. Adaptive Designs for Confirmatory Clinical Trials with Subgroup Selection. Journal of Biopharmaceutical Statistics. 2014;24(1):168-87.
Journal Categories
Medicine
Public aspects of medicine
Toxicology
Poisons
Medicine
Therapeutics
Pharmacology
Science
Mathematics
Probabilities
Mathematical statistics
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Refrences
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| A Statistical Framework for Decision Making in Confirmatory Multipopulation Tailoring Clinical Trials | Drug Information Journal | 28 | 2012 | |
| Aspects of Modernizing Drug Development Using Clinical Scenario Planning and Evaluation | Drug Information Journal | 38 | 2010 | |
| Implementing Adaptive Designs: Logistical and Operational Considerations | Drug Information Journal | 43 | 2006 | |
| Confidentiality and Trial Integrity Issues for Adaptive Designs | Drug Information Journal | 31 | 2006 | |
| Confidentiality and Trial Integrity Issues for Adaptive Designs | Statistics in Medicine |
| 1999 |
Citations
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
Inference on tree‐structured subgroups with subgroup size and subgroup effect relationship in clinical trials | Statistics in Medicine |
| 2023 | |
New insights into adaptive enrichment designs | Statistical Papers |
| 1 | 2023 |
| A Robust Quantitative Risk Screening for Subgroup Pursuit in Clinical Trials | Econometrics and Statistics | 2023 | ||
Blinded sample size recalculation in adaptive enrichment designs | Biometrical Journal |
| 2 | 2022 |
| Incorporating Surrogate Information for Adaptive Subgroup Enrichment Design with Sample Size Re-Estimation | Statistics in Biopharmaceutical Research |
| 6 | 2022 |
Citations Analysis
The category
Science: Mathematics: Probabilities. Mathematical statistics 29
is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Adaptive designs for subpopulation analysis optimizing utility functions and was published in 2014. The most recent citation comes from a 2023 study titled Inference on tree‐structured subgroups with subgroup size and subgroup effect relationship in clinical trials. This article reached its peak citation in 2015, with 9 citations. It has been cited in 25 different journals, 8% of which are open access. Among related journals, the Statistics in Medicine cited this research the most, with 7 citations. The chart below illustrates the annual citation trends for this article.