পদ্ধতির তুলনা করুন
নির্বাচিত পদ্ধতিগুলো পাশাপাশি পর্যালোচনা করুন; যে সারিগুলোয় পার্থক্য আছে সেগুলো চিহ্নিত করা হয়।
| ঝুঁকি-সমন্বিত ফেজ I ক্লিনিকাল ট্রায়াল× | বেয়েশীয় ফেজ I ক্লিনিকাল ট্রায়াল× | |
|---|---|---|
| ক্ষেত্র | মহামারীবিদ্যা | মহামারীবিদ্যা |
| পরিবার | Process / pipeline | Process / pipeline |
| উদ্ভবের বছর≠ | 1990s–2000s | 1990 |
| প্রবর্তক≠ | Evolved from the Continual Reassessment Method (O'Quigley et al., 1990) extended with patient-level risk covariates | O'Quigley, Pepe & Fisher (Continual Reassessment Method) |
| ধরন≠ | Interventional clinical trial design | Adaptive Bayesian dose-finding design |
| মৌলিক উৎস≠ | Iasonos, A., Wilton, A. S., & Gonen, M. (2008). A review of stochastic dose-finding methods. Statistics in Medicine, 27(25), 5031–5046. link ↗ | O'Quigley, J., Pepe, M., & Fisher, L. (1990). Continual reassessment method: a practical design for phase 1 clinical trials in cancer. Biometrics, 46(1), 33–48. DOI ↗ |
| অপর নাম | risk-stratified Phase I trial, risk-adaptive dose-escalation study, covariate-adjusted Phase I study, risk-based dose-finding trial | Bayesian dose-finding trial, CRM trial, continual reassessment method trial, Bayesian dose-escalation study |
| সম্পর্কিত | 5 | 5 |
| সারসংক্ষেপ≠ | A risk-adjusted Phase I clinical trial is a first-in-human or dose-finding study that explicitly incorporates patient-level risk covariates — such as organ function, prior therapy, or genetic markers — into the dose-escalation model. Rather than treating all enrolled participants as homogeneous, the design accounts for individual differences in tolerance, allowing the recommended dose to vary by risk stratum. This approach is especially common in oncology, where patients with impaired renal function or heavily pre-treated disease may tolerate lower doses than the broader population. | A Bayesian Phase I clinical trial uses prior probability models and sequential Bayes updating to find the maximum tolerated dose (MTD) of a new agent. Unlike the traditional 3+3 rule-based escalation, the Bayesian approach revises a dose-toxicity curve continuously as each patient's outcome is observed, allowing faster convergence to the true MTD while minimising exposure of patients to unsafe or subtherapeutic doses. |
| ScholarGateডেটাসেট ↗ |
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