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Good Single-Stage Designs for Logistic Regression When Parameter Values are Uncertain

SINGLE finds "good'" single-stage designs for conducting dose-response experiments in which a logistic or log-log models the probability of response as a function of dose. A prior distribution describes the initial uncertainty as to values of the model parameters; choice of prior includes normal, log-normal, and uniform distributions. A point prior distribution can also be used in which case parameter values are known. A "good" design minimizes the variance of a user chosen function of parameters of the model, e.g. the dose yielding a specified probability of response.

Contact: Barry W. Brown

Language: Fortran 77