半参模型在评价药物相互作用中的应用  

A Semiparametric Model for Assessing Drug Interaction

作　　者：王菲[1] 刘俊麟[1] 言方荣[1] 

机构地区：[1]中国药科大学,南京210009

出　　处：《数理医药学杂志》2013年第1期13-16,共4页Journal of Mathematical Medicine

基　　金：中央高校专项业务经费JKQ2011032;国家自然科学基金重点项目NSFC

摘　　要：在组合药物治疗中,研究药物组合是否具有协同、相加或者拮抗作用是非常重要的课题之一。目前评价药物相互作用的方法是利用效应面模型,但由于药物相互作用的模式复杂使得效应面模型不足以完全刻画药物之间的相互作用。提出具有两部分结构的半参数效应面模型来刻画药物相互作用模式,并利用多元核密度进行模型参数估计,通过计算机数值模拟可以看出半参数效应面模型比传统效应面模型更能捕捉药物相互作用的信息。When multiple drugs are administered simultaneously,investigators are often interested in assessing whether the drug combinations are synergistic,additive,or antagonistic.Existing response surface models are not adequate to capture the complex patterns of drug interactions.We propose a two-component semiparametric response surface model with a parametric function to describe the additive effect of a combination dose and a nonparametric function to capture the departure from the additive effect.The nonparametric function is estimated using the technique developed in multidimensional kernel density estimation.The proposed semiparametric model offers an effective way of formulating the additive effect while allowing the flexibility of modeling a departure from additivity.Example and simulations are given to illustrate that the proposed model provides an excellent estimation for different patterns of interactions between two drugs.

关 键 词：协同 相加 拮抗 Loewe-可加模型 多元核密度估计 

分 类 号：R311[医药卫生—基础医学]