Global Goodness-of-Fit Tests in Logistic Regression with Sparse Data

... but what is the solution???- In principle it would seem preferable to accept thefailure of the chi-square limit and to use a moreaccurate approximation to the null distributionwithout accumulating cells. (Lloyd, 1999)- Thus, to analyze lack of fit when explanatoryvariables are continuous, we apply goodness-of-fitstatistics and related residual measures by groupingobserved and fitted values for a partition of the spaceof explanatory variable values. (Agresti, 1989)- It is good statistical practice, however, not to rely oneither D or X 2 as an absolute measure of goodness offit in these circumstances. It is much better to look forspecific deviations from the model of a type that iseasily understood scientifically. (McCullagh/Nelder,1989)O.Kuss, Global Goodness-of-Fit Tests in Logistic Regression with Sparse Data, 2.11.02