## Workshops for Fall Quarter, 2017

**Introduction to R** Monday, November 27, from 9 a.m. to 12 noon in CLICC Classroom C
R is a statistical package that runs on Windows, Macintosh and UNIX platforms. This class is designed for people who are just starting to use R. The students in the class will have a hands-on experience using R for doing statistics, graphics, and data management. The class notes are the scripts for the class. The class notes can be found at https://stats.idre.ucla.edu/r/seminars/intro/ . Sign up here https://idre.ucla.edu/calendar-event/introduction-to-r-5 .

## Past Classes and Workshops Available Online

- Introduction to Stata 13/14
- Stata Data Management
- Regression with Stata
- Logistic Regression with Stata
- Beyond Binary Logistic Regression with Stata
- Multiple Imputation in Stata 14
- Introduction to Survey Data Analysis
- Applied Survey Data Analysis
- Survey Data Analysis
- Survival Analysis Using Stata
- Introduction to Programming in Stata

- Introduction to SAS 9.4
- Programming Basics in SAS 9.4
- Analyzing and Visualizing Interactions in SAS 9.4
- Regression with SAS
- Logistic Regression in SAS
- Repeated Measures Analysis in SAS
- Applied Survey Data Analysis using SAS 9.4
- Multiple Imputation in SAS 9.4
- Survival Analysis Using SAS
- Using Arrays in SAS
- Introduction to SAS Macro Language

- Introduction to SPSS version 22 (point-and-click and syntax)
- Introduction to SPSS Syntax, Part1 (using SPSS version 21)
- Introduction to SPSS Syntax, Part 2 (using SPSS version 21)
- Regression with SPSS
- Introduction to Regression with SPSS (Version 23)
- Repeated Measures Analysis in SPSS
- Mediation and Moderation using the SPSS Process Macro
- Graphics using SPSS

**Mplus and Latent Variable Analysis**

**Longitudinal Data Analysis**

- Longitudinal Research: Present Status and Future Prospects by Judith Singer & John Willett
- Analyzing Longitudinal Data using Multilevel Modeling

**Power Analysis**

- Deciphering Interactions in Logistic Regression
- Regression Models with Count Data
- Statistical Writing

**Other**