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An approach for estimating power/sample size is described within the framework of generalized linear models. This approach is based on an asymptotic approximation to the power of the score test under contiguous alternatives and is applicable to tests of composite null hypotheses. An implementation is described for the special case of logistic regression models. Simulation studies are presented which indicate that the asymptotic approximation to the finite-sample situation is good over a range of parameter configurations.
Self et al. (Tue,) studied this question.
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