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Repeated Measures Analysis

Workshop

There are several methods available to analyze data that consists of repeated measurements taken on subjects or experimental units over time. These methods are designed to account for between subject variability and within subject variability. In this workshop we will cover the two most commonly used methods for analyzing repeated measures data: repeated measures ANOVA […]

Reproducible Data Analysis Workflow

Workshop

Using a well-maintained, reproducible data analysis strategy (or workflow) is a major productivity boost. Using a syntax-based approach permanently connects the protocol documentation to the actions performed to produce the results, reducing confusion as to what steps were taken. Figures and tables can be recreated easily, allowing for simple modification without starting from scratch. Additionally, […]

Using github for Statistical Reproducibility and Data Sharing

Workshop

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 […]

Advanced Discrete Choice Modeling

Workshop

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 […]

Graphing Models in R

Workshop

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 […]

Introduction to Path Analysis and Mediation Analysis

Workshop

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 […]

Graphing Models in Stata

Workshop

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 […]

Advanced Topics in Path Analysis and Mediation

Workshop

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 […]

Introduction to Choice Models

Workshop

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 […]