Dose-response models with covariates.
Two approaches are presented to incorporate covariate effects into dose-response models. The first approach postulates a parametric form for the dose-response function with the resulting parameters then assumed to depend on the covariates. The second approach is semi-parametric: it assumes that the logit ratio (the difference between the logit of success rate at the covariate level and that of the baseline level) can be expressed as a regression model in the covariate effects and the dose level. We present results of a simulation study which compares the efficiency of the two approaches.
Wijesinha
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MC
Department of Mathematics, Penn State University, York, Pennsylvania 17403, USA.
Piantadosi
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D000704:Analysis of Variance; D000818:Animals; D004305:Dose-Response Relationship, Drug; D006801:Humans; D008433:Mathematics; D015233:Models, Statistical; D011336:Probability; D012044:Regression Analysis; D012984:Software