A Semiparametric Response Surface Model for Assessing Drug Interaction
نویسندگان
چکیده
منابع مشابه
Response surface model for anesthetic drug interactions.
BACKGROUND Anesthetic drug interactions traditionally have been characterized using isobolographic analysis or multiple logistic regression. Both approaches have significant limitations. The authors propose a model based on response-surface methodology. This model can characterize the entire dose-response relation between combinations of anesthetic drugs and is mathematically consistent with mo...
متن کاملDrug interaction: focusing on response surface models
Anesthesiologists have been aware of the importance of optimal drug combination long ago and performed many investigations about the combined use of anesthetic agents. There are 3 classes of drug interaction: additive, synergistic, and antagonistic. These definitions of drug interaction suggest that a zero interaction model should exist to be used as a reference in classifying the interaction o...
متن کاملA Bayesian Semiparametric Model for Radiation Dose-Response Estimation.
In evaluating the risk of exposure to health hazards, characterizing the dose-response relationship and estimating acceptable exposure levels are the primary goals. In analyses of health risks associated with exposure to ionizing radiation, while there is a clear agreement that moderate to high radiation doses cause harmful effects in humans, little has been known about the possible biological ...
متن کاملA comparison of semiparametric estimators for the ordered response model
Three semi-parametric estimators for ordered response models are compared: a “semi-nonparametric” series estimator, an estimator based on a polynomial transformation to normality, and a least squares estimator for a transformed dependent variable. The empirical estimates are found to differ markedly across estimators in a job satisfaction illustration presented, but much less so in the second i...
متن کاملEmax model and interaction index for assessing drug interaction in combination studies.
Applying the Emax model in a Lowe additivity model context, we analyze data from a combination study of trimetrexate (TMQ) and AG2034 (AG) in media of low and high concentrations of folic acid (FA). The Emax model provides a sufficient fit to the data. TMQ is more potent than AG in both low and high FA media. At low TMQ:AG ratios, when a smaller amount of the more potent drug (TMQ) is added to ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Biometrics
سال: 2008
ISSN: 0006-341X
DOI: 10.1111/j.1541-0420.2007.00882.x