Below is a catalog of our recently offered workshops. Click on the name of a workshop for more information.
Workshops on Basic Statistical Methods
- R & RStudio Drop-in Installation Session
- The Essentials of R for Statistical Analysis
- Introductory Statistical Analysis using Python
- Intermediate Statistical Analysis using Python
- Interpreting Linear Models: Regression and Anova
- Introductory Statistical Analysis using R
- Intermediate Statistical Analysis using R
- Introductory Statistical Analysis Using JMP
- Introductory Statistics Using Stata
- Introductory Statistics using SPSS
- Introduction to Statistical Methods for Epidemiology
- Introductory Statistical Analysis using Jamovi
- Intermediate Statistics using Stata
- Nonparametric Statistical Methods
- Getting started with data analysis using SAS
- Basic Data and Research Skills
Workshops on Data Management, Manipulation, and Visualization
- Visualizing Data Using ggplot2 in R
- Online Survey Data Quality
- Introduction to Network Analysis
- Managing Qualtrics Data Using R and SPSS
- Data Wrangling in R Using dplyr and tidyr
- Reproducible Data Analysis Workflow
- Using github for Statistical Reproducibility and Data Sharing
- Research Integrity and Reproducibility
- Data Wrangling and Loops in Stata
- Data Wrangling
- Data Visualization
- An Introduction to Writing Loops in R for Efficient Statistical Analyses
Workshops on Generalized Linear Models and their Applications
- P-value Corrections: When, Why and How to Use Them
- Introduction to Logistic Regression Analysis
- Introduction to Modeling Count Data
- Graphing Models in JMP
- Introduction to ROC Curves
- Model Exploration Using the emmeans Package in R
- Advanced Discrete Choice Modeling
- Graphing Models in R
- Graphing Models in Stata
- Introduction to Multinomial Logistic Regression
- Introduction to Ordinal Logistic Regression
Workshops on Hierarchical/Multilevel/Mixed Models
Workshops on Multivariate Analyses and Dimension Reduction
- Exploratory Factor Analysis
- Introduction to Classification and Regression Trees
- Introduction to Cluster Analysis
- R Packages for RNA-Seq Data
- Data Reduction using Partial Least Squares (PLS)
- Introduction to PERMANOVA
- Introduction to Item Response Theory (IRT)
- Canonical Correlation Analysis
- Principal Component Analysis
- Introduction to Ordination
Workshops on Specialized Statistical Methods
- Working with Spatial Data in R
- Confirmatory Factor Analysis
- Introduction to Random Forests
- Introduction to Generalized Additive Models (GAMs)
- Introduction to Conjoint Analysis
- Hands-on Complex Survey Analysis Using R
- Hands-on Complex Survey Analysis Using Stata
- Working with Complex Survey Weights: Calculation, Adjustment, and Post-survey Calibration
- Hands-on Complex Survey Analysis Using SAS
- Equivalence Testing
- Introduction to Meta-Analysis
- Introduction to Causal Inference
- Causal Inference Methods for Observational Data
- Introduction to Survival Analysis
- Introduction to Latent Profile Analysis
- Introduction to Bayesian Statistical Modeling
- Non-Linear Modeling in R
- Structural Regression Models
- Classification and Regression with Decision Trees and Ensembles
- Introduction to Path Analysis and Mediation Analysis
- Advanced Topics in Path and Mediation Analysis
- Introduction to Choice Models
- Penalized Regression for Model Selection: Ridge, LASSO, and Elastic Net
- Analysis of Pre-test-Post-test Data
- Missing Data
- Introduction to Time Series Analysis
- Multiple Linear Regression with Spatial Data
- Propensity Score Analysis
- Measurements of Agreement and Reliability
- Model Selection and Multimodel Inference
Workshops on The Design of Experiments
- Survey Development and Questionnaire Design
- Design and Analysis of Complex Surveys
- Introduction to Experimental Design
- Designing Experiments in JMP
- Introduction to Sample Size Calculations
- Simulation-based Sample Size Calculations for Mixed Models
- Fractional Factorial Designs
- Response Surface Methodology