Optimal Designs for Dose Response Experiments in Cancer Research

Paul G. Hoel · Robert I. Jennrich

32 citations0/0 files storedBiometrika

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Optimal Experimental Design Methods Statistical Methods in Clinical Trials Statistical Methods and Bayesian Inference

Abstract

Design problems associated with estimating response probabilities in low dose carcinogen experiments are considered. Optimal designs are developed for a specific class of models, and examples are used to investigate the potential gains that may result from their use. Their robustness with respect to the prior information needed for their construction is considered. An algorithm for producing the required optimal design is presented.

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1984Design of animal carcinogenicity studies for goodness-of-fit of multistage models 1990Choice of Number of Doses for Maximum Likelihood Estimation of the ED50 for Quantal Dose-Response Data

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