对生物等价性评估的试点关键试验的贝叶斯式方法
Duo Lv1,2, Michael J Grayling3, Xinyue Zhang3
1Department of Clinical Pharmacy, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
一种新的贝叶斯方法增强了生物等价试验决策. 这种方法提高了确定是否需要一个关键试验的准确性,特别是在小型试验研究数据的情况下.
科学领域:
- 药理动力学和药物开发
- 生物统计学 生物统计学
- 临床试验设计 临床试验设计
背景情况:
- 试点试验评估生物等价性研究的可行性.
- 传统的显著性测试在小型试验数据下是不可靠的.
- 贝叶斯框架为决策和事先整合提供了一个替代方案.
研究的目的:
- 提出一个强大的贝叶斯层次模型去/不去决策在生物等价试验.
- 为了使试验和关键试验数据的联合分析能够为正式的生物等价证实.
- 提高决策准确性和管理错误阳性率.
主要方法:
- 使用了两次序,两周期交叉设计,比较测试 (T) 和参考 (R) 处理.
- 开发了一种贝叶斯层次模型,用于基于概率的预测决策,具有扩展因子.
- 进行模拟研究以评估操作特性.
主要成果:
- 建议的贝叶斯方法在生物等效情景中提高了Go/No-Go决策的准确性.
- 适当的门选择确保了对正确/错误决策的预期概率.
- 联合数据分析增加了宣布生物等价性的可能性,同时控制了假阳性.
结论:
- 新的贝叶斯学方法对于生物等价性评估是有效的,特别是在小样本大小的情况下.
- 增强生物等价性试验中的决策过程.
- 为利用试点和关键数据提供了一个强大的框架.
更多相关视频
09:35A Protocol for Using Gene Set Enrichment Analysis to Identify the Appropriate Animal Model for Translational Research
Published on: August 16, 2017
07:25In Vitro Methods for Comparing Target Binding and CDC Induction Between Therapeutic Antibodies: Applications in Biosimilarity Analysis
Published on: May 4, 2017
相关概念视频
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
Bioequivalence: Overview
Testing a Claim about Population Proportion
There are two methods of testing a claim about a population proportion: (1) Using the sample proportion from the data where a binomial distribution is approximated to the normal distribution and (2) Using the binomial probabilities calculated from the data.
The first method uses normal distribution as an approximation to the binomial distribution. The requirements are as follows: sample size is large...
Decision Making: P-value Method
First, a specific claim about the population parameter is proposed. The claim is based on the research question and is stated in a simple form. Further, an opposing statement to the claim is also stated. These statements can act as null and alternative hypotheses: a null hypothesis would be a neutral statement while the alternative hypothesis can...
Analysis of Population Pharmacokinetic Data
Behrens–Fisher Test
This test...
