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 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.

Imrey, Koch, Stokes and collaborators (1981) have reviewed the literature of log linear and logistic categorical data modelling, and presented a matrix formulation of log linear models parallel to the ...

ANNA GOTTARD, GIOVANNI MARIA MARCHETTI, ALAN AGRESTI, Quasi-Symmetric Graphical Log-Linear Models, Scandinavian Journal of Statistics, Vol. 38, No. 3 (September 2011), pp. 447-465 ...

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 ...

Sound Bites • The development of generalised linear models (GLMs) led to other important advances in statistics, particularly when the assumption of independence between responses is violated.