Multilevel and Mixed Models Using R

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Date(s) - 07/31/2018 - 08/01/2018
9:00 am - 5:00 pm

Temple University Center City


Course hosted by Statistical Horizons titled Multilevel and Mixed Models Using R, Taught by Dr. Stephen Vaisey is on July 31-August 1, in Philadelphia, Pennsylvania.

This two-day seminar provides an intensive introduction to multilevel models. After a brief conceptual introduction (including a discussion of the difference between random and fixed effects), we will begin with simple variance components models that can tell us how much of the variation in a measure can be attributed to different levels of observation. We will then move on to mixed models (random effects models with fixed covariates) that allow us to ask how factors at different levels can affect an outcome. Next, we will investigate how using random coefficients and cross-level interactions can help us discover hidden structure in our data and help us investigate how individual-level processes work differently in different contexts. We will also briefly consider how these techniques can be applied to cases where we have repeated observations of individuals or other entities over time.

This course is for anyone who want to learn to apply multilevel models to observational data. Participants should have a basic foundation in linear regression.

RSVP to reserve your spot. For more information on the course click HERE.

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