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 ...

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, ...

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 ...

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 ...

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 ...

A prospective study was conducted in the North Arcot District, Tamil Nadu State, India, to determine the correlates of intrauterine growth rate (iugr), which was assessed using Yerushalmy's ...

GLMs unify other statistical models, including gamma regression models appropriate for right skewed responses; logistic regression appropriate for categorical responses; and log-linear models ...