Multilevel Mixed-Effects Modeling Using MATLAB
Learn how to fit wide variety of Linear Mixed-Effect (LME) models to make statistical inferences about your data and generate accurate predictions in this new webinar. Mixed-effect models are commonly used in econometrics (Panel Data), biostatistics and sociology (Longitudinal Data) where data is collected and summarized in groups. In these cases LME models with nested or crossed factors can fully incorporate group level contextual effects which cannot be accurately modeled by simple linear regression.
Topics covered in this webinar include:
- Groups, hierarchy and advantages of LME models
- Preparing and organizing your data to fit LME models
- Specifying LME models using formula notation and design matrices
- Estimating model parameters using maximum likelihood (ML) and restricted maximum likelihood (REML)
- Generating confidence intervals on fixed effects, random effects, and covariance parameters
- Performing residual diagnostics and model comparison tests using theoretical or simulated likelihood ratio tests
- Making predictions on new data using the fitted LME model
About the Presenter: Shashank Prasanna is Product Marketing Manager at the MathWorks focused on MATLAB and add-on products for Statistics, Machine Learning and Data Analytics. His prior experience includes technical support at the MathWorks and software development at Oracle. Shashank holds an M.S. in electrical engineering from Arizona State University.
Recorded: 6 May 2014
Featured Product
Statistics and Machine Learning Toolbox
Up Next:
Related Videos:
Sélectionner un site web
Choisissez un site web pour accéder au contenu traduit dans votre langue (lorsqu'il est disponible) et voir les événements et les offres locales. D’après votre position, nous vous recommandons de sélectionner la région suivante : .
Vous pouvez également sélectionner un site web dans la liste suivante :
Comment optimiser les performances du site
Pour optimiser les performances du site, sélectionnez la région Chine (en chinois ou en anglais). Les sites de MathWorks pour les autres pays ne sont pas optimisés pour les visites provenant de votre région.
Amériques
- América Latina (Español)
- Canada (English)
- United States (English)
Europe
- Belgium (English)
- Denmark (English)
- Deutschland (Deutsch)
- España (Español)
- Finland (English)
- France (Français)
- Ireland (English)
- Italia (Italiano)
- Luxembourg (English)
- Netherlands (English)
- Norway (English)
- Österreich (Deutsch)
- Portugal (English)
- Sweden (English)
- Switzerland
- United Kingdom (English)
Asie-Pacifique
- Australia (English)
- India (English)
- New Zealand (English)
- 中国
- 日本Japanese (日本語)
- 한국Korean (한국어)