Bayesian Linear Regression

Intro to Bayesian Methods

Advanced Bootstrap Topics

Bootstrap p-values

Splines in Linear Regression

Segmented Regression

Quantile Regression

Power and Sample Size

A Brief Introduction to Generalized Linear Models

Linear Regression: MLE for Methods of Estimation

Linear Regression with Matrices in SAS

Linear Regression with Matrices in R

Linear Regression with Matrices

Multiple Linear Regression: Outlier, Leverage, and Influential Points

Multiple Linear Regression: Variable Selection

Model Selection in Linear Regression

Multiple Linear Regression: Interactions (Effect Modification)

Polynomial Regression

Mediation Models

Confounding and Precision Variables in Linear Regression

General Linear Hypothesis Testing

Kruskal-Wallis Test (Nonparametric ANOVA)

ANOVA: Post-Hoc Testing

One-Way Analysis of Variance

Coding Categorical Variables

Multiple Comparisons and the False Discovery Rate

Multiple Linear Regression: Inference on Independent Variables

Multiple Linear Regression: Diagnostic Plots and Multicollinearity

Multiple Linear Regression Introduction

Transformations to Remove Heteroscedasticity and Address Non-Linearity