Choice models can be used to describe how any individual makes a choice between a discrete set of choice alternatives. These methods are widely used in many fields including social sciences, economics, marketing, transportation, health, and animal behavior.
This workshop will consist of a detailed description of the multinomial logit model, and the related conditional logistic model, that are widely used for analyzing choice data. Analyses of real data will be illustrated using the R and Stata statistical packages.