run; yield a main-effects log-linear model analysis of the factors r1 and r2. The output includes Wald statistics for the individual effects r1 and r2, as well as predicted cell probabilities.

Example 22.4: Log-Linear Model, Three Dependent Variables This analysis reproduces the predicted cell frequencies for Bartlett's data using a log-linear model of no three-variable interaction (Bishop, ...

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 ...

The author discusses the use of the linear logit model in marketing research. A brief review of the linear logit model focuses on model formulation, estimation, evaluation, and inference procedures.

Gene-environment (G×E) interactions play a crucial role in many complex diseases. Many studies have highlighted the importance of the linear and nonlinear effects of G×E interactions to the risk of ...

This note explains how to choose between log and linear specification. The note emphasizes the economic interpretation of a log model and how to interpret coefficients in a log regression. The note ...