Training and Events
Small Area Estimation using R and Stat-JR
|University of Bristol|
Professor Nikos Tzavidis
35 Berkeley Square
View in Google Maps (BS8 1JA)
This one-day course is being run in collaboration with Professor Nikos Tzavidis from the University of Southampton and can be attended as a stand-alone course for those already familiar with multilevel modelling or as a continuation for the introductory course on multilevel modelling that immediately precedes it.
The workshop will provide an introduction to Small Area Estimation and in particular how multilevel models are used as part of this topic. It will use the R statistical software to illustrate how to fit classical small area estimation models using the emdi package. It will also use the Stat-JR software distributed along with MLwiN by the Centre for Multilevel Modelling, Bristol to illustrate work in a current ESRC funded project looking at MCMC methods for Small Area Estimation and we will demonstrate an eBook that has been developed as part of the project.
The workshop will consist of a mixture of explanatory talks and demonstrations together with ‘hands-on’ model fitting.
General information on Stat-JR: https://www.bristol.ac.uk/cmm/software/statjr/
Stat-JR manuals: https://www.bristol.ac.uk/cmm/software/statjr/manuals/
If you have not used Stat-JR before then it is suggested that you work through the quick start guide prior to attending the workshop to ensure that the software is set up correctly.
This course assumes familiarity with multilevel modelling up to the level of module 5 of our LEMMA online course (https://www.bristol.ac.uk/cmm/learning/online-course/course-topics.html) or that you have attended the introduction to multilevel modelling course preceding it. If you are attending this course, you will need to bring your own Windows laptop. If you already have Stat-JR then we advise that you install and test this beforehand, otherwise we will provide a cut-down version on a USB stick for the duration of the workshop.
Professor Nikos Tzavidis, Professor William Browne, Mr Christopher Charlton
The course starts with registration at 10.15 and finishes at 17:00. Participants are expected to attend the full course.
Intermediate (some prior knowledge)
For UK-registered MSc and PhD students - £30.
Website and registration
Quantitative Data Handling and Data Analysis, Multilevel Modelling , Hierarchical models, Mixed models, Random effects, Longitudinal Data Analysis, Growth curve models
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