Statistical Methods and Data Analytics
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Analysis and Visualization of Interactions in R
In regression, we are often interested in an interaction, which is the modification or moderation of the effect of an independent variable by another. Understanding interactions involves interpreting the regression coefficients, estimating and testing simple effects and their differences, and visualizing the interaction. This workshop will teach you how to do all of these thing in R using base R, as well as the emmeans and ggplot2 packages. Some prior knowledge of linear regression and experience with R is recommended but not necessary.
Register here: https://ucla.zoom.us/meeting/register/phB7a_EUTVaKP1Cubf8XfQ#/registration
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Introduction to Survival Analysis in R
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/C5LuGU-OSM2m0ggA5qmn7Q#/registration
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