Wednesday, 4 February 2015, University of Adelaide
This is a one day workshop designed for people who need to have an understanding of the statistical test required to analyse data that is nested or clustered and as such how to account for correlation due to clustering. This workshop will benefit both methodologists and practitioners. Participants are required to have strong understanding of regression modelling techniques (such as simple regression, or logistic regression)
About the workshop:
This workshop will provide participants with methods to analyse nested data. That is, data that is nested in hierarchical structures (e.g. students nested in classrooms, classrooms nested in schools, and schools in suburbs). The focus of this workshop will be on clustered data and it will provide both the theoretical as well as hands on experience in analysing clustered data using statistical software.
About the presenter:
Murthy Mittinty is with the Better Start Group in the School of Population Health as a Biostatistician. He is an Accredited Statistician, with 10 years of research experience as an applied statistician. Murthy has worked in the areas of child development, health, biosecurity, and Meteorology.
He has obtained his statistical training in India and New Zealand. Before moving to Adelaide, Murthy worked at the Mathematics and Statistics Department in Queensland University of Technology. For the last five years Murthy has been working with people analysing longitudinal data sets. His interests are also in the area of Causal Modelling, and Statistical Analysis of Missing data.
Course Outline/ Topics covered
Introduction, demonstration of hierarchical structure of data, visually representing data, statistical treatment of clustered data, assumptions of hierarchical linear model, testing and model specification, understanding and interpretation of results
|09.00 AM – 10.30 AM||Introduction, demonstration of hierarchicalstructure, visually representing data, Statisticaltreatment of clustered data|
|10.30 AM – 11.00 AM||Tea-break|
|11.00 AM – 12.30 PM||Statistical treatment of clustered data|
|12.30 PM – 01.30 PM||Lunch Break|
|01.30 PM – 03.00 PM||Assumptions of hierarchical linear model|
|03.00 PM – 03.30 PM||Tea Break|
|03.30 PM – 04.30 PM||Testing and model specification and understandingand interpretation of results|
- Clustered data and hierarchical structures
- The importance of accounting for correlation of variance due to clustering
- How to model data accounting for within and between group variation
- How to visually display clustered data
- How to test for differences between groups after accounting for clustering
- How to interpret results from these tests
Note that there will be no computer labs during the running of the short course. Instead, participants will be provided R scripts associated with the examples and run them later at their leisure. The scripts can also be modified to suit other analysis that the participants might want to do in the future.
$200 for SSAI members, students and paid YSC registrants
$425 for non SSAI members
Registrations close on Wednesday, 28 January 2015.
Venue details tba
Cancellations received prior to Wednesday, 28 January 2015, will be refunded in full. Cancellations need to be accompanied by a valid credit card number, expiry date and CVV number which will be used to put the refund through. After this time no part of the registration fee will be refunded. However, registrations are transferable within the same organisation. Please advise any changes to [email protected]
Occasionally workshops have to be cancelled due to a lack of subscription. Early registration ensures that this will not happen. However, please contact the SSAI Office before making any travel arrangements to confirm that the workshop will go ahead, because the SSAI will not be held responsible for any travel or accommodation expenses incurred due to a workshop cancellation.
|Time:||9:00 am - 4:00 pm|
|Location:||University of Adelaide,