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.

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 ...

We propose an extension of graphical log-linear models to allow for symmetry constraints on some interaction parameters that represent homologous factors. The conditional independence structure of ...

This example illustrates a log-linear model of independence, using data that contain structural zero frequencies as well as sampling (random) zero frequencies. In a population of six squirrel monkeys, ...

Log-linear models are typically fitted to contingency table data to describe and identify the relationships between categorical variables. However, these data may include observed zero cell entries, ...

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 ...