Previous workshops: 2019

Multilevel Modelling courses 9-12 July 2019, University of Bristol

The Centre for Multilevel Modelling will be running two workshops at the beginning of July. These can be attended as stand-alone courses or in conjunction.

Introduction to Multilevel Modelling Using MLwiN
Small Area Estimation using R and StatJR
Course fees

Introduction to Multilevel Modelling Using MLwiN, 9-11 July 2019, University of Bristol

This three-day course provides an introduction to multilevel modelling using the MLwiN software. We focus on multilevel modelling for continuous and binary responses (dependent or outcome variables) when the data are clustered or hierarchical. Such methods are appropriate when, for example, analysing the exam scores of students nested within schools, or the health outcomes of patients nested within hospitals. Longitudinal data are also clustered, with repeated measurements on individuals or multiple panel waves per survey respondent.

The course will consist of a 2:1 mix of lectures and hands-on practical sessions applying the taught methods to real datasets using MLwiN. Throughout, there is an emphasis on how to interpret the models and on what kinds of research question they can be used to explore.

Topics covered:

Overview of multilevel modelling
Introduction to MLwiN
Variance-components models
Random-intercept models with covariates
Between- and within-effects of level-1 covariates
Random-coefficient models
Growth-curve models
Three-level models
Review of single-level logistic regression
Two-level logistic regression

Pre-requisites:

We assume no prior knowledge of multilevel modelling or MLwiN. However, participants should be familiar with estimating and interpreting linear regression models, including the writing and interpretation of model equations, hypothesis testing and model selection, and the use and interpretation of dummy variables and interaction terms. Some participants may wish to refresh themselves of this material by reading module 3 of our LEMMA online course. https://www.bristol.ac.uk/cmm/learning/online-course/course-topics.html.

Instructors:

Dr George Leckie, Professor Harvey Goldstein, Richard Parker, Lucy Prior

Timing:

The course starts with registration at 10.45 on Day 1 and finishes at 15:00 on Day 3. Participants are expected to attend the full course.

Small Area Estimation using R and Stat-JR, 12 July 2019, University of Bristol

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.

Links

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.

Topics covered:

Introduction to small area estimation including unit-level and area-level models
The emdi package in R along with a practical to illustrate small area estimation
Introduction to the StatJR package with particular focus on the eBook interface and the new small area estimation templates.
Practical testing out the SAE ebook on an example dataset

Pre-requisites:

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.

Instructors:

Professor Nikos Tzavidis, Professor William Browne, Mr Christopher Charlton

Timing:

The course starts with registration at 10.15 and finishes at 17:00. Participants are expected to attend the full course.

Course fees

The course fees include printed materials, lunch, and morning/afternoon refreshments. The course fees do not include travel and accommodation costs. There will be an optional course meal for participants and workshop instructors for the first course on the Tuesday evening at an additional cost of £30.

Introduction to multilevel modelling:

For UK-registered MSc and PhD students - £180
For UK university academics, UK public sector staff, and staff at UK registered charity organisations - £360
For all other participants - £660

Small Area Estimation (this course is heavily subsidised due to ESRC funding):

For UK-registered MSc and PhD students - £30
For UK university academics, UK public sector staff, and staff at UK registered charity organisations - £30
For all other participants - £30

Both workshops

For UK-registered MSc and PhD students - £210
For UK university academics, UK public sector staff, and staff at UK registered charity organisations - £390
For all other participants - £690

Cancellation/refunds:

A full refund will be given if cancellation occurs three weeks prior to the event. No refund is given after this date. By completing the application form, you are accepting these cancellation terms.

Applications:

Our workshops are now regularly over-subscribed so we have had to introduce an application and selection process. If you would like to attend either workshop, please complete and submit the online application form (see below). Please note the closing date for applications is Sunday 26th May.

Submission of the form and its acknowledgement does not guarantee a place on the workshops. We will email you by Friday 31st May to tell you whether or not your application has been successful. If you are offered a place on either workshop, it will not be confirmed until you have accepted and paid the relevant fee.

If you have any queries, please email info-cmm@bristol.ac.uk.

Go to booking form >>

Please click here to read the booking terms and conditions before completing the booking form.

Multilevel Modelling courses 7th-11th January 2019, University of Bristol

The Centre for Multilevel Modelling will be running two workshops at the beginning of January. These can be attended as stand-alone courses, however a 25% discount will be given to participants attending both.

Introduction to Multilevel Modelling Using MLwiN
Handling missing data for multilevel models
Course fees

Introduction to Multilevel Modelling Using MLwiN, 7-9 January 2019, University of Bristol

Topics covered:

Overview of multilevel modelling
Introduction to MLwiN
Variance-components models
Random-intercept models with covariates
Between- and within-effects of level-1 covariates
Random-coefficient models
Growth-curve models
Three-level models
Review of single-level logistic regression
Two-level logistic regression

Pre-requisites:

Instructors:

Professor Harvey Goldstein, Dr George Leckie, Dr Richard Parker

Timing:

The course starts with registration at 10.45 on Day 1 and finishes at 15:00 on Day 3. Participants are expected to attend the full course.

Handling missing data for multilevel models, 10-11 January 2019, University of Bristol

This two-day course 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 this important topic together with a hands-on experience for participants in fitting data with complex patterns of missingness. It will utilise the recently released missing data features in the Stat-JR software distributed along with MLwiN by the Centre for Multilevel modelling, Bristol. This software is designed to handle very general data structures, including multilevel ones, and is applicable to both continuously distributed data and categorical data. It will cover traditional multiple imputation techniques using joint modelling and fully conditional modelling but with an emphasis on more recent and more flexible Bayesian models.

The workshop will consist of a mixture of explanatory talks and demonstrations together with ‘hands-on’ data analysis. If users wish to bring their own datasets (preferably not too large) there will be time to analyse these with help.

Links

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/

Missing data in Stat-JR: https://www.bristol.ac.uk/cmm/research/missing-data/

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. You may also wish to read through the document "Missing Data with Stat-JR".

Topics covered:

Introduction to the problem. How do missing data arise? How not to handle missing data. Introduction to Imputation.
Multiple Imputation for general models: multilevel and non-normal variables
Fully conditional approaches to multiple imputation
Joint modelling approaches to multiple imputation – continuous response
Using Stat-JR
Binary responses and the latent normal model
Participant data analyses, including binary data and including participants’ own data if desired.
A joint ‘one-pass’ Bayesian model for missing data.
Participant data analysis using STATJR; single level
One pass method with missing data at level 2
Participant data analysis for multilevel data
Further developments and general discusssion

Pre-requisites:

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 preceeding it. Participants are encouraged to gain a basic understanding of missing data techniques beforehand, e.g. by accessing the website: http://missingdata.org.uk/. If you are attending this course you will need to bring your own Windows laptop. Please ensure that you have downloaded and tested Stat-JR beforehand.

Instructors:

Professor Harvey Goldstein, Mr Christopher Charlton, Dr Richard Parker

Timing:

The course starts with registration at 10.15 on Day 1 and finishes at 16:00 on Day 2. Participants are expected to attend the full course.

Course fees

The course fee includes printed materials, lunch, and morning/afternoon refreshments. The course fee does not include travel and accommodation costs. There will be an optional course meal for participants and workshop instructors for each course on the Tuesday and Thursday evening at an additional cost of £30 per meal.

Introduction to multilevel modelling:

For UK-registered MSc and PhD students - £180
For UK university academics, UK public sector staff, and staff at UK registered charity organisations - £360
For all other participants - £660

Handling missing data for multilevel modelling:

For UK-registered MSc and PhD students - £120
For UK university academics, UK public sector staff, and staff at UK registered charity organisations - £240
For all other participants - £440

Both workshops

For UK-registered MSc and PhD students - £225
For UK university academics, UK public sector staff, and staff at UK registered charity organisations - £450
For all other participants - £825

Cancellation/refunds:

A full refund will be given if cancellation occurs three weeks prior to the event. No refund is given after this date. By completing the application form, you are accepting these cancellation terms.

Applications:

Submission of the form and its acknowledgement does not guarantee a place on the workshops. We will email you by Wednesday 21st November to tell you whether or not your application has been successful. If you are offered a place on either workshop, it will not be confirmed until you have accepted and paid the relevant fee.

If you have any queries, please email info-cmm@bristol.ac.uk.

Go to booking form >>

Please click here to read the booking terms and conditions before completing the booking form.