A New Look at Tests in Multiple Logistic Regression Models

In this paper we consider the response probability in a multiple logistic regression set up when the observations are independent binomial variables and propose the likelihood ratio tests for testing the significance of regression coefficients on the basis of a suitable variance stabilizing transformation. Results of simulation study which evaluate the power of the test procedures and compare the test statistics to earlier ones are presented. An example to illustrate our tests is provided.