## Workshop Catalog

CSCU tries to offer each of the following workshops once a year. Some are offered every semester. Let us know if you have a suggestion of a workshop that you would like to see offered at Cornell.

Click on the name of a workshop for more information.

### Workshops on Basic Statistic Methods and their Interpretations

Basic Data Analysis and Research Skills

Getting Started with Data Analysis

Introductory Statistics Using JMP

Introductory Statistics Using R

Intermediate Statistical Analysis Using R

Interpreting Linear Models: Regression and Anova

### Workshops on the Design of Experiments

Designing Experiments for Agricultural Research

Designing Experiments for the Social Sciences

Sampling Design and Analysis of Complex Surveys

Introduction to Sample Size Calculations

### Workshops on Generalized Linear Models and their Applications

Introduction to Logistic Regression Analysis

Introduction to Logistic Regression for Responses with More than Two Categories

Introduction to Modeling of Count Data

### Workshops on Advanced Statistical Methods

Analysis of Pre-test-Post-test Data

Introduction to Bayesian Statistical Modeling

Introduction to Functional Data Analysis

Model Selection and Multimodel Inference

Overview of Multiple Comparison Methods

Introduction to Path Analysis and Mediation Analysis

Introduction to Survival Analysis

### Workshops on Multivariate Analyses and Dimension Reduction

Computationally Intensive Statistics

Introduction to Classification and Regression Trees

Introduction to Longitudinal Data Analysis

Model Selection Using the Lasso Technique

Multidimensional Scaling and Dimension Reduction

Introduction to Multilevel Modeling

Multivariate Statistical Analysis

Principal Components Analysis and Canonical Correlation Analysis

Introduction to Statistical Genetics

Univariate Repeated Measures versus MANOVA

Introduction to Machine Learning

### Workshops on Data Management, Manipulation, and Visualization

Reproducible Research and Automatic Reports

Visualizing Data Using ggplot2 in R