## Upcoming Workshops, Spring 2022

**Introduction to Survival Analysis in R**, Tuesday, May 17 from 1 to 4 p.m. PDT via Zoom

Survival analysis models time-to-event outcomes. This workshop introduces usage of the survival package in R for some of the most commonly used survival methods. Topics include data setup, Kaplan-Meier estimates and curves, log-rank tests, fitting the Cox proportional hazards model, assessing the proportional hazards assumption, and modeling time-varying covariates. Experience in both survival analysis and R will be helpful but not necessarily required to follow the workshop material.

#### Register here: https://ucla.zoom.us/meeting/register/tJIqcumvqjMpGtF2IDZ4169VV6tvWMgWSLdd

The workshop notes are here: https://stats.oarc.ucla.edu/r/seminars/introduction-to-survival-analysis-in-r/

**R Graphics: Introduction to ggplot2**, Tuesday, May 24 from 1 to 4 p.m. PDT via Zoom

This seminar teaches the “grammar” of graphics that underlies the ggplot2 package, allowing the user to build eye-catching, publication-quality graphics layer-by-layer. We cover the basic elements of the grammar of graphics, including aesthetics, geoms, scales, and themes, and we will show you how easy ggplot2 makes it to integrate these elements to make informative and beautiful graphics. The seminar is meant to be interactive with attendees participating in the coding, so some very basic R coding knowledge is helpful but not required.

#### Register here: https://ucla.zoom.us/meeting/register/tJ0vcuGoqT4pE9PPoLe554uqDPk0AflrmUKe

The workshop notes are here: https://stats.oarc.ucla.edu/r/seminars/ggplot2_intro/

**Graphing Interactions Using the PROCESS Macro in SPSS**, Tuesday, May 31 from 1 to 3 p.m. PDT via Zoom

This workshop will demonstrate how to include moderation terms (AKA interaction terms) in linear models, how to interpret the coefficients, and how to graph the interaction using the PROCESS macro in SPSS. Examples will include categorical by categorical, categorical by continuous, and continuous by continuous interactions.

#### Register here: https://ucla.zoom.us/meeting/register/tJUuce-spj4rGNcYvc7hKAQPS28yTTpR14Bg

The workshop notes are here: forthcoming.

## Past Classes and Workshops Available Online

- Introduction to Stata 16
- Stata Data Management
- Regression with Stata
- Logistic Regression with Stata
- Beyond Binary Logistic Regression with Stata
- Multiple Imputation in Stata 15
- Introduction to Survey Data Analysis
- Applied Survey Data Analysis
- Advanced Topics in Survey Data Analysis
- Survival Analysis Using Stata
- Introduction to Meta-analysis using Stata
- Introduction to Programming in Stata
- Decomposing, Probing, and Plotting Interactions 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 (point-and-click and syntax)
- Introduction to Regression with SPSS
- Introduction to Mediation Models with the PROCESS macro in SPSS
- A Practical Introduction to Factor Analysis
- Principal Components (PCA) and Exploratory Factor Analysis (EFA) with SPSS
- Introduction to SPSS Syntax, Part1 (using SPSS version 21)
- Introduction to SPSS Syntax, Part 2 (using SPSS version 21)
- Repeated Measures Analysis in SPSS
- Using the SPSS Mixed Command
- Graphics using SPSS

**Mplus and Latent Variable Analysis**

- Latent Growth Models (LGM) and Measurement Invariance with R in lavaan
- Introduction to Structural Equation Modeling (SEM) in R with lavaan
- Confirmatory Factor Analysis with in R with lavaan
- Decomposing, Probing and Plotting Interactions in R
- Introduction to R
- R Markdown Basics
- Introduction to ggplot2
- R Data Management
- Repeated Measures Analysis in R
- Introduction to Regression in R
- Survey Data Analysis with R
- Introduction to Survival Analysis in R

**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**