General classes of multiple binary regression models in dose finding problems for combination therapies
General classes of multiple binary regression models in dose finding problems for combination therapies
复制标题
DOI：
10.1111/j.1467-9876.2012.01054.x
复制
发表时间：
2013-01-01
影响因子：
1.6
通讯作者：
Gasparini, Mauro
中科院分区：
文献类型：
--
作者：
Gasparini, Mauro
单一化合物的剂量发现问题已被推广到联合治疗，并在文献中提出了几个二元回归模型。我们提出了一般的工具来评估它们，特别是无剂量参数化的毒性和风险比函数和图的风险。还提出了新的风险函数类。它们生成低维参数风险函数，这些函数可供研究人员使用，并对其临床相关性进行评论。
The dose finding problem for single compounds has been generalized to combination therapies and several binary regression models have been proposed in the literature. We propose general tools to evaluate them, in particular dose-free parameterizations of the risks of toxicity and risk ratio functions and plots. New classes of risk functions are also proposed. They generate low dimensional parametric risk functions which are made available to the researcher and commented on for their clinical relevance.