Center of Statistical Research and School of Statistics, Southwestern University of Finance and Economics, Chengdu, 611130, Sichuan, China.
Department of Applied Mathematics, Xi'an Jiaotong-Liverpool University, Suzhou, 215123, Jiangsu, China.
Sci Rep. 2023 Mar 28;13(1):5047. doi: 10.1038/s41598-023-28148-4.
For the model-based designs, the continual reassessment method (CRM) is widely used to identify the maximum tolerated dose (MTD) in phase I clinical trials. To improve the performance of classic CRM models, we propose a new CRM and its dose-toxicity probability function based on the Cox model whatever the treatment response is immediately observed or delayed. In the process of dose-finding trial, we can use our model in situations when either the response is delayed or not and can derive the likelihood function and posterior mean toxicity probabilities to find the MTD. Simulation is carried out to evaluate the performance of the proposed model with the classic CRM models. We also evaluate the operating characteristics of the proposed model by the Efficiency, Accuracy, Reliability, and Safety (EARS) criteria.
对于基于模型的设计,连续评估方法(CRM)广泛用于确定 I 期临床试验中的最大耐受剂量(MTD)。为了提高经典 CRM 模型的性能,我们提出了一种新的 CRM 及其基于 Cox 模型的剂量-毒性概率函数,无论治疗反应是否立即观察到。在剂量发现试验过程中,我们可以在反应延迟或不延迟的情况下使用我们的模型,并得出似然函数和后验平均毒性概率来找到 MTD。通过仿真来评估所提出的模型与经典 CRM 模型的性能。我们还通过效率、准确性、可靠性和安全性(EARS)标准来评估所提出模型的操作特性。