Multilevel and Mixed Models Using Stata

Learn Multilevel and Mixed Models Using Stata

Description

The Four-Week (Four Hours per Week) course is designed to cover current and recent trends in multilevel/mixed models techniques being implemented in Stata. The course is aimed to social scientists, healthcare professionals and bio-statistic faculty and students who are interested in developing a more blended Econometric skill and a Stata mind. The course is targeted towards personal learning needs as every registrant will be provided a personal lecture time during the course. The course will be collaborative, using example datasets, interactive providing complete independence for Q&A and offer plenty of opportunities for personal and specific research questions. 

Registration Fee: 200GBP 
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Note: To be Paid in advance and full fee is Refundable before each after deducting the processing charges. No fee will be refunded after course start dates.

Course Contents

·         Review of basic linear regression using Stata

·         Variance-components models

·         Random-intercept models with covariates and Random-coefficient models

·         Longitudinal, panel, and growth-curve models

·         Dichotomous or binary responses, Ordinal responses

·         Higher-level models with nested random effects

·         Crossed random effects

Prerequisite

Basic knowledge of standard linear regression and a working knowledge of Stata and the Do-file Editor

Sessions
The discussion session will be held each Saturday and Sunday starting next weekend using Online Tools for Learning Management.

Notes
Registration Places are limited. Computers/Laptops with Internet Connection, Skype and Stata installed are required to discuss and practice the models being discussed during the course. Training sessions are held on the Weekends to facilitate more registrants being able to learn. Learning materials, e-books, manuals and reference datasets will be provided for practice. Personal data is encouraged to practice on to identify more relevant issues.

Helpful Resources:
Main Text for Reading and Following

·         Multilevel and Longitudinal Modeling Using Stata, Second Edition, by Sophia Rabe-Hesketh and Anders Skrondal

Other Important Reading List

·         Aerts, M., Geys, H., Molenberghs, G., and Ryan, L.M. (2002). Topics in Modeling of Clustered Data. London: Chapman & Hall.

·         Brown, H. and Prescott, R. (1999). Applied Mixed Models in Medicine. New York: John Wiley & Sons.

·         Crowder, M.J. and Hand, D.J. (1990). Analysis of Repeated Measures. London: Chapman & Hall.

·         Davidian, M. and Giltinan, D.M. (1995). Nonlinear Models For Repeated Measurement Data. London: Chapman & Hall.

·         Davis, C.S. (2002). Statistical Methods for the Analysis of Repeated Measurements. New York: Springer.

 
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