Previous workshops: 2018
Introduction to Multilevel Modelling Using MLwiN, 17-19 July 2018 – closing date 3 June, University of Bristol
This three-day short 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. http://www.bristol.ac.uk/cmm/learning/online-course/course-topics.html.
Instructors:
Professor Harvey Goldstein, Dr George Leckie
Timing:
The course starts with registration at 10.15 on Day 1 and finishes at 15:00 on Day 3. 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 evening meal for participants and workshop instructors on the first evening at an additional cost of £30.
- 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
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 the workshop, please complete and submit the online application form (see below). Please note the closing date for applications is Sunday 3 June 2018.
Submission of the form and its acknowledgement does not guarantee a place on the course. We will email you by Wednesday 6 June 2018 to tell you whether or not your application has been successful. If you are offered a place on the 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.
Please click here to read the booking terms and conditions before completing the booking form.
The efficient handling of missing data in statistical models, 20 March 2018, University of Bristol
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 (version 1.0.5) 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.
The following link allows you to download the software and associated manual: it is suggested that you read the manual and run one or two simple models outlined there before the workshop. Note that the examples demonstrated in the workshop will deal exclusively with the ‘one pass’ method.
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
- Discussion
- A fully Bayesian approach
- Using Stat-JR
- Participant data analyses, including binary data and including participants’ own data if desired.
- General discussion
Pre-requisites
Participants will be expected to have good familiarity with modelling of generalised linear models. Participants are encouraged to gain a basic understanding of missing data techniques beforehand, e.g. by accessing the website: http://missingdata.org.uk/. If users wish to bring their own datasets (preferably not too large) there will be time to analyses these with help.
Instructors
Professor Harvey Goldstein and Christopher Charlton
Timing:
The first two sessions will take place in the morning with a 10.00 start and with 15 minute breaks during the morning and afternoon. Lunch is provided. Scheduled finishing time is 17:30.
Workshop slides:
Efficient procedures for handling missing data in generalised.pdf (335KB)
Course fees:
The cost for this workshop, which is only available to UK researchers, will be £20 to cover costs of refreshments.
Cancellation/refunds:
A full refund will be given if cancellation occurs two 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 the workshop, please complete and submit the online application form (see below). Please note the closing date for applications is Sunday 10 March 2018.
Submission of the form and its acknowledgement does not guarantee a place on the course. Numbers are limited and we will let you know as soon as possible whether your application has been successful. If you are offered a place on the 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.
Please click here to read the booking terms and conditions before completing the booking form.
Introduction to Multilevel Modelling Using MLwiN, 9-11 January 2018, University of Bristol
This three-day short 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. http://www.bristol.ac.uk/cmm/learning/online-course/course-topics.html.
Instructors:
Professor Harvey Goldstein, Dr George Leckie
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.
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 evening meal for participants and workshop instructors on the first evening at an additional cost of £30.
- 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
Cancellation/refunds:
A full refund will be given if cancellation occurs two 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 the workshop, please complete and submit the online application form (see below). Please note the closing date for applications is Sunday 19 November 2017.
Submission of the form and its acknowledgement does not guarantee a place on the course. We will email you by Friday 24 November 2017 to tell you whether or not your application has been successful. If you are offered a place on the 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.
Please click here to read the booking terms and conditions before completing the booking form.