The logistic model and the log-linear model provide the same parametric description of disease risk: α 1t, β 1t, and γ 1t have exactly the same interpretations in both models.

In this chapter, we propose a log-linear model for the biases observed when analyzing model communities data. Our model expands the recent work from McLaren, Willis and Callahan (MWC) [eLife, 8:e46923 ...

A log-linear model for predicting magazine exposure distributions is developed and its parameters are estimated by the maximum likelihood technique. The log-linear model is compared empirically with ...

Journal of the Royal Statistical Society. Series B (Statistical Methodology), Vol. 75, No. 4 (SEPTEMBER 2013), pp. 743-768 (26 pages) Marginal log-linear (MLL) models provide a flexible approach to ...