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#### Training Contents

**Name**

**Description**

**Content**

**Keywords**

**Author**

Running the Statistical Gauntlet in R

A series of examples of statistical tests in R, aimed to help train researchers in understanding statistical output, graphs, and conclusions.

R, statistics, t-test, ANOVA, regression

Dr. Mark Williamson

Linear Regression Module I

A quick overview of linear regression; includes quick examples and assessment.

regression, R, SAS, overview

Dr. Mark Williamson

Linear Regression Module II

A more detailed explanation and practice of linear regression; includes step-by-step examples and assessment.

regression, R, SAS, theory, descriptions

Dr. Mark Williamson

Linear Regression Module III

A deeper look at more advanced topics in linear regression; includes live examples and assessment.

regression, R, SAS, STATA, generalized linear mixed model, longitudinal analysis, structural equation modeling

Dr. Mark Williamson

Exploratory Data Analysis Module I

A quick overview of exploratory data analysis; includes quick examples and assessment.

exploratory data analysis, graphs, statistical tests

Dr. Mark Williamson

Exploratory Data Analysis Module II

A more detailed explanation and practice exploratory data analysis; includes step-by-step examples and assessment.

exploratory data analysis, R, SAS, theory, descriptions, graphs, statistical tests

Dr. Mark Williamson

Exploratory Data Analysis Module III

A deeper look at more advanced topics in exploratory data analysis.

exploratory data analysis, R, SAS, graphs, statistical tests, multiple dimensions, variable selection, complex plots

Dr. Mark Williamson

Power Analysis in G*Power

An introduction to running power analysis in G*Power for a variety of statistical models; includes descriptions, instructions, and examples

power analysis, sample size, gpower

Dr. Mark Williamson

Power Analysis in R

An introduction to running power analysis in R for a variety of statistical models; includes descriptions, instructions, and examples.

power analysis, sample size, R

Dr. Mark Williamson

Power Analysis in R: GLMMs

An introduction to generalized linear mixed models, how to create them in R, how to use simulation to obtain sample size estimates for them, and a series of examples.

power analysis, sample size, R, generalized linear mixed model, simulation

Dr. Mark Williamson