This workshop will introduce github and some of its uses in statistical contexts. Github is a powerful tool for storing code online to publicly share or to collaborate on. In this workshop, we will cover use cases for github for sharing data and/or code, and the tools for using github in a statistics context. No […]
Description coming soon.
This workshop will begin with a series of examples illustrating different settings in which discrete choice models are useful. The multinomial logit model will then be described in detail, followed by extensions to deal with heteroscedastic errors in the utility function, nested choices, and dependent choices. Analysis of various datasets will be illustrated using the […]
The first step in fitting any linear models should be exploratory graphing with the raw data. In many cases, this step will provide preliminary answers to the hypotheses and will provide a general idea of the effect sizes for the predictors. Sometimes, descriptive graphs will not provide the whole picture, in particular when the response […]
Path analysis is a form of a structural equation model in which all the variables in the model are observed and all the paths of the model are estimated simultaneously. Simply put, path analysis is a series of linear regressions. Hence, the same assumptions that we have for linear regression hold for path analysis. Path […]
The first step in fitting any linear models should be exploratory graphing with the raw data. In many cases, this step will provide preliminary answers to the hypotheses and will provide a general idea of the effect sizes for the predictors. Sometimes, descriptive graphs will not provide the whole picture, in particular when the response […]
Path analysis is a form of a structural equation model in which all the variables in the model are observed and all the paths of the model are estimated simultaneously. Simply put, path analysis is a series of linear regressions. Hence, the same assumptions that we have for linear regression hold for path analysis. Path […]
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 […]
Penalized regression is a modern statistical method that has gained much attention over the last decade as researchers in many fields are able to measure far more variables than ever before. Linear regression suffers in two important ways as the number of predictors becomes large. First, overfitting may occur, meaning that the fitted model does […]
A major principle of the scientific method is replication, or the ability of an experiment or study to be duplicated. A similar idea is “reproducible research,” – that the results of a study can be reproduced given the raw data and the analysis protocols or methods (usually in code, script, or syntax form). With full […]