This workshop introduces zero-inflated poisson, zero-inflated negative binomial, and hurdle models for count data, which are two-part models used when more zeros are found in the data than expected with typical count distributions. We will discuss the formulations of the two parts of each model, the interpretation of model parameters, and how to run these...
This workshop teaches the basics of the linear regression model, the foundation for most other regression models. Topics include understanding the model equation, continuous and categorical predictors, interpreting the model estimates, and diagnostics for assessing model assumptions. The workshop is intended to be interactive, with examples and exercises in R, and assumes only introductory exposure...
Meta-analysis is the synthesis of results from previous studies. It is used to increase power, obtain a better estimate of an effect size, and sometimes to resolve conflicting conclusions in the literature. In this workshop, we will discuss how the data for a meta-analysis are collected and organized, as well as how such data are...