Publisher review:Sequential Experimental Designs for GLM - Sequential plans for designing experiments with binary (or any GLM) response Sequential Experimental Designs for Generalized Linear ModelsExperimental Design is about choosing locations in which to take measurements. For example, choosing different drug doses in which to examine the success of a treatment. A lot has been written on experimental design for statistical linear models. But, often these models do not describe the problem well enough. Common examples are when the response is binary (?success? or ?failure?) or when the response is discrete count data (fitting a Poisson model)
Analysis of such data is familiar through Generalized Linear Models (GLM). The files attached give tools for designing sequential GLM experiments.
Unlike one-stage experimental plans, that require the researcher to fix in advance the factor settings at which data will be observed, sequential experimental design allows updating and improving the experimental plan following the data already observed. If you are interested in one-stage plans, algorithms for their implementation were uploaded to MATLAB central file-exchange separately.
Sequential Experimental Designs for GLM is a Matlab script for Statistics and Probability scripts design by Hovav Dror.
It runs on following operating system: Windows / Linux / Mac OS / BSD / Solaris.
Operating system:Windows / Linux / Mac OS / BSD / Solaris
Sequential Experimental Designs for GLM script details 
