It appears that both, a log-linear dose–response Poisson model as well as a linear SMR model perform well and mirror the structure of the dose–response relation.

After linkage with inpatient discharge data, multistate and log-linear Poisson regression models were used to calculate hospitalization rates and to model rehospitalization in the year after diagnosis ...

Log linear models for contingency tables of counts are formulated as a special case of generalized linear models with an additive systematic component Y, Poisson errors for the data and an exponential ...

This is a preview. Log in through your library . Abstract Count data often show a higher incidence of zero counts than would be expected if the data were Poisson distributed. Zero-inflated Poisson ...

As the title “Practical Regression” suggests, these notes are a guide to performing regression in practice. This note explains how to choose between log and linear specification. The note emphasizes ...

In this module, we will introduce generalized linear models (GLMs) through the study of binomial data. In particular, we will motivate the need for GLMs; introduce the binomial regression model, ...