Introduction to Basket Trials
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-19-8176-0_8
Reference52 articles.
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2. Asano, J., & Hirakawa, A. (2020). A Bayesian basket trial design accounting for uncertainties of homogeneity and heterogeneity of treatment effect among subpopulations. Pharmaceutical Statistics, 19(6), 975–1000.
3. Beckman, R. A., Antonijevic, Z., Kalamegham, R., & Chen, C. (2016). Adaptive design for a confirmatory basket trial in multiple tumor types based on a putative predictive biomarker. Clinical Pharmacology & Therapeutics, 100(6), 617–625.
4. Berry, S. M., Broglio, K. R., Groshen, S., & Berry, D. A. (2013). Bayesian hierarchical modeling of patient subpopulations: Efficient designs of phase II oncology clinical trials. Clinical Trials, 10(5), 720–734.
5. Chakradhar, S. (2016). Group mentality: Determining if targeted treatments really work for cancer. Nature Medicine, 22(3), 222–225.
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