相关实验视频

Updated: May 22, 2025

In Vitro Methods for Comparing Target Binding and CDC Induction Between Therapeutic Antibodies: Applications in Biosimilarity Analysis
07:25

In Vitro Methods for Comparing Target Binding and CDC Induction Between Therapeutic Antibodies: Applications in Biosimilarity Analysis

Published on: May 4, 2017

17.7K

封闭的MCP-Mod用于对数剂量的对对比与控制器.

Franz Koenig1, Sergey Krasnozhon1, Bjoern Bornkamp2

  • 1Center for Medical Data Science, Medical University of Vienna, Vienna, Austria.

Statistics in medicine
|May 19, 2025
PubMed
概括

这项研究增强了临床试验的MCP-Mod方法,提供了确认单个剂量的药物疗效和检测整体剂量反应信号的方法. 新方法确保了药物开发的可靠统计测试.

关键词:
对比测试对比测试对比测试对比测试发现剂量发现剂量剂量反应反应许多对一个的比较.建模 建模模型 建模模型

更多相关视频

Diagonal Method to Measure Synergy Among Any Number of Drugs12:08

Diagonal Method to Measure Synergy Among Any Number of Drugs

Published on: June 21, 2018

18.4K
Genome-wide Protein-protein Interaction Screening by Protein-fragment Complementation Assay PCA in Living Cells08:38

Genome-wide Protein-protein Interaction Screening by Protein-fragment Complementation Assay PCA in Living Cells

Published on: March 3, 2015

13.3K

相关概念视频

Multiple Comparison Tests01:13

Multiple Comparison Tests

Multiple comparison test, abbreviated as MCT, is a post hoc analysis generally performed after comparing multiple samples with one or more tests. An MCT will help identify a significantly different sample among multiple samples or a factor among multiple factors.
It would be easy to compare two samples using a significance alpha level of 0.05. In other words, there is only one sample pair to be compared. However, it would be difficult to identify a significantly different sample if the number...
3.8K
McNemar's Test01:23

McNemar's Test

McNemar's Test is a nonparametric statistical test used to determine if there is a significant difference in proportions between two related groups when the outcome is binary (e.g., yes/no, success/failure). It is beneficial when we have paired data, such as pre-test/post-test designs, where the same subjects are measured under two different conditions. The test is named after the statistician Quinn McNemar, who introduced it in 1947. It is commonly used in situations where subjects are...
112