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|Cost:||Free—but registrations are limited|
Some models are nonlinear in the parameters, such as models of absorption rates in pharmacokinetics and growth curves in ecology, economics, and biological sciences. In these data, observations may be correlated because of repeated measures within subjects or because subjects are even nested within higher-level groups. Therefore, it is natural to fit a nonlinear multilevel model, also known as a nonlinear mixed-effects model or a nonlinear hierarchical model.
Join Houssein Assaad, Senior Statistician and Software Developer, as he introduces you to Stata 15's new nonlinear mixed-effects features. He will show you how to use menl to fit nonlinear mixed-effects models that contain random intercepts and slopes at different grouping levels and with different covariance structures for both the random effects and within-subject errors. He will also discuss how to interpret parameters and obtain predictions.
Learn more about nonlinear mixed-effects models now.
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 menl in action.
Houssein Assaad is a Senior Statistician and Software Developer at StataCorp LLC, and he is Stata's expert in nonlinear mixed-effects models. Houssein has a PhD degree in statistics from the University of Texas at Dallas. He is a former research assistant professor at Texas A&M University, where his research focused on longitudinal and functional data analysis.