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Statistical Models

Dates:27 August 2014 - 29 August 2014
Times:09:30 - 17:00
What is it:Workshop
Organiser:methods@manchester
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THIS COURSE IS NOW FULL

This course provides a general introduction to analysing data using statistical models. Over three days, participants are guided through the process of defining statistical models, inputting these into a statistical analysis package and then interpreting and presenting the results. Emphasis is placed on the use and interpretation of graphical methods for analysis, which enable detailed analysis without the need for advanced statistical or mathematical theory.

Data are analysed using Generalized Linear Models, which allow the analysis of many types of numeric and categorical data. Lectures are combined with computer exercises to provide hands-on experience of data analysis. The computer software "R" is used extensively in conjunction with the R-commander and the R-studio to provide a simple and powerful analysis platform. No prior experience or expertise with this software is required. Although all software and material is provided that runs on the net-worked computers provided, participants may run the software on their own computers and are encouraged to bring lap-tops.

Full participation in the course does not require advanced statistical skills.

Wednesday 27th August 2014 DAY ONE: Constructing and running models.

09:00 - 09:30: Registration 09:30 - 11:00: Introduction, software and data. 11:00 - 11:15: break 11:15 - 12:45: Defining statistical models 12:45 - 02:00: Lunch 02:00 - 03:30: Illustrating statistical models 03:30 - 03:45: break 03:45 - 05:00: Exercises

Thursday 28th August 2014 DAY TWO: Interpreting the statistics.

09:30 - 11:00 Modelling continuous variables. 11:00 - 11:15: break 11:15 - 12:45: Coding explanatory variables. 12:45 - 02:00: Lunch 02:00 - 03:30: Modelling binary categorical data. 03:30 - 03:45: break 03:45 - 05:00: Modelling multi-category data.

Friday 29th August 2014 DAY THREE: Checking and selecting models.

09:30 - 11:00 Diagnostics and transformations. 11:00 - 11:15: break 11:15 - 12:45: Exercise 12:45 - 02:00: Lunch 02:00 - 03:30: Variable selection: multi-model presentations 03:30 - 03:45: break 03:45 - 05:00: Summing up and questions...

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methods@manchester.ac.uk

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