|When:||June 19, 2018, at 10:00 AM CT
|Where:||Join us from anywhere!|
|Cost:||Free—but registrations are limited|
Populations are often divided into groups such as income brackets, levels of education, or country of origin. Regression models likely differ across these groups. But sometimes we do not have a variable that identifies the groups. Perhaps the identifying variable is missing, hard to collect, or unobservable. In such cases, we can use finite mixture models (FMMs) to estimate distinct parameters of a regression model in each unobserved (latent) group, to classify individuals into the groups, and to draw inferences about how each group behaves.
Join Rafal Raciborski, Senior Statistical Developer, as he describes the types of models that can be fit using Stata's new fmm command. You will learn how to interpret results, predict latent class membership, and fit even more complex FMMs using Stata's gsem command.
The webinar is free, but you must register to attend. Registrations are limited, so register soon.
We will send you an email prior to the start of the course with instructions on how to access the webinar. You will need access to Adobe Connect to attend.
Don't miss this opportunity to see the new features in Stata 15 straight from our development team.
Rafal Raciborski is a Senior Statistical Developer at StataCorp. He has worked in the areas of multivariate time series, spatial econometrics, multilevel mixed-effects modeling, item response theory, and finite mixture modeling.