Kay and Little (1986) [218] Various regression diagnostics for logistic models reviewed and compared in a medical example.
Bunke et al. (1986) [67] In a book, discussion of the method of `approgression', which attempts to measure true (linear) model function with a possibly incorrect (linear) one as well as possible, effectively trying to obtain the best balance between systematic and estimation errors. I do not really understand the details.
Upton (1991) [373]
Basic introduction to model selection (model search) for log-linear
models in large data sets. $L^{2}$, AIC, BIC. Recommends a fairly
automatic procedure relying on BIC.