TO ANALYZE BINARY DATA FROM MIXED-LEVEL ORTHOGONAL ARRAYS

Orthogonal arrays of mixed levels have been found useful in setting up highly fractional factorial experiments. When the responses from such experiments are binary, logistic regression analysis is used to analyze such data. Usually, the maximum likelihood estimates of parameters under the logistic regression model need to be found by an iterative procedure in order to test the importance of factors. In this article, a simple approximate procedure is proposed and compared to the maximum likelihood method with an example.