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 ...

Use and implementation of the complementary log regression model are discussed, integrating various separate applications of the model under the form of a generalized linear model. Some motivation is ...

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.

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 ...

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, ...

Original Article Published: 23 September 2003 Log-linear models for assessing gene–age interaction and their application to case-control studies of the apolipoprotein E (apoE) gene in Alzheimer ...