Generalized Linear Models
BS853: Analysis of the quantitative and quantitative data types often found in health science research
Introduction
Generalized linear models are extensions of classical linear models. Classes of generalized linea...
Models for Two-Way Contingency Tables
Recall in the last section Generalized Linear Models (GLMs) were introduced as an extension of th...
Three-Way Contingency Tables
In studying the association between two variables we should control for variables that may influe...
Binomial Outcomes
Frequently dichotomous outcomes are used in medical studies, such as presence of a disease or exp...
Hypothesis Testing with GLM
Effect modification can be modeled with logistic regression by including interaction terms. A sig...
GLM for Multinomial Outcomes
Multinomial outcomes are much akin to binomial outcomes, with added complexity due to outcomes wi...
GLM for Count Data
Generalized linear models for count data are regression techniques available for modeling outcome...
Gamma Regression
Consider a continuous dependent variable that is positive-valued, such as a length of a hospital ...
Survival - Time to Failure
Analysis of survival data is more complex than than other methods we've seen so far; We can't jus...
GLM for Correlated Data
So far the models we've covered assume independence between observations collected on separate in...