| introduction |
| programme |
| lecturers |
| registration |
| fees |
| organization |
| information |
| coordination |
| Programme | ||
The course will include both theoretical and practical lectures, including the analyses of several case studies with real data sets given by the lecturers. The course will be run in the GUI to R package Brodgar. |
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A one-year license is provided. Participants fluent in R can run the course in R. Solution files of the exercises and demonstrations in R will be provided. |
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All lectures are in English. |
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| TOPICS | ||
| Monday (full day) | ||
| - | Revision linear regression & software |
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| - | Generalised least squares (GLS) for dealing with heterogeneity |
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| Tuesday (full day) | ||
| - | Continue with GLS and provide a 10-step protocol |
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| - | Introduction linear mixed effects modelling |
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| Wednesday (full day) and Thursday (morning) | ||
| - | Linear mixed effects modelling for hierarchical (nested) data (including 2-way nested data) |
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| - | Use of the 10-step protocol |
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| Thursday (afternoon) and Friday (full day) | ||
| - | Dealing with temporal and spatial correlation in regression and smoothing models, and in mixed effects models |
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