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.
DOI
10.22237/jmasm/1509494640
Recommended Citation
Alkhalaf, A., & Zumbo, B. D. (2017). The Impact of Predictor Variable(s) with Skewed Cell Probabilities on Wald Tests in Binary Logistic Regression. Journal of Modern Applied Statistical Methods, 16(2), 40-80. doi: 10.22237/jmasm/1509494640
Included in
Applied Statistics Commons, Social and Behavioral Sciences Commons, Statistical Theory Commons
