The Impact of Predictor Variable(s) with Skewed Cell Probabilities on Wald Tests in Binary Logistic Regression
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Nov 1, 2017
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Arwa Alkhalaf
University of British Columbia, Vancouver, BC, Canada
Bruno D. Zumbo
University of British Columbia, Vancouver, BC, Canada
Abstract
A series of simulation studies are reported that investigated the impact of a skewed predictor(s) on the Type I error rate and power of the Wald test in a logistic regression model. Five simulations were conducted for three different regression models. A detailed description of the impact of skewed cell predictor probabilities and sample size provide guidelines for practitioners wherein to expect the greatest problems.
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