Contact
Claudia von Brömssen Senior Lecturer at the Department of Energy and Technology; Applied statistics and mathematics
Telephone: 018-671720
E-mail: claudia.von.bromssen@slu.se
Workshops
Last changed: 03 September 2018
Statistics@SLU gives workshops on statistical modelling topics.
Do you have any suggestions for forthcoming workshops?
The workshops are part of the Research School in Applied Statistics and Scientific Computing. If you have suggestions for forthcoming topics contact a statistician at your campus or the Centre (statistics@slu.se).
2016 - Generalised additive models (GAM)
Workshop in Generalised Additive Models
Presentations:
Claudia von Brömssen: Introduction to General Additive Models
Claudia von Brömssen: Generalised and mixed models in the GAM context
Michal Zmihorski: GAM in ornothological studies
Henrik Thurfjell: GAM in modelling bear populations
Sven Adler: GAM in species habitat modelling
Stefan Widgren: GAM for modelling the prevalence of infectious diseases
Mikael Franko: GAM for modelling excess mortality of infectious diseases
Valerio Bartolino: GAM in fish ecology
Willem Dekker: GAM for modelling the annual recruitment data of young eels
Jens Fölster: GAM for trend analysis in water quality data
Claudia von Brömssen: GAM for modelling time-varying relationships
Invitation to the 2016 workshop and instruction for registration (pdf)
2015 - Mixed models
Workshop in Mixed models
Presentations:
Ulf Olsson: Mixed Models (first day)
Lin Shi, Food Science: The application of mixed model in exploring time dependent postprandial metabolic changes - a randomized, cross-over study (second day)
Andrew Allen, Wildlife, Fish and Environmental Studies: Understanding intraspecific variation in movement patterns of moose: A multi-scale approach (second day)
Wiebke Neumann, Wildlife, Fish and Environmental Studies: Using mixed models to analyze autocorrelated data in nested design. – Examples from the analyses of moose GPS positions across species' latitudinal range (second day)
Johan Pihel, Landscape Architecture, Planning and Management: Mixed effect models in Eye tracking and visual assessment studies of forest landscapes (second day)
Johannes Forkman, Crop Production Ecology: Randomized block trials with spatial correlation (second day)
Exercises:
Forest data:
- Description (first example in file)
- Data as SAS file
- Data as text file
- R-script solution
Dogs data:
- Description (second example in file)
- Data as SAS file
- Data as text file
- R-script solution
Ladybirds data:
- Description (first example)
- Data as SAS file
- Data as text file
- R-script solution
Bayisa data:
- Description (second example)
- Data as SAS file
- Data as text file
2014 - Generalised linear models
Workshop in generalised linear models
Föreläsningar
Ulf Olsson: Generaliserade linjära modeller
Ulf Olsson/Jonas Oliva Palau: Pseudo-binomial data
Johannes Forkman: Overdispersion
Johannes Forkman: Overdispersion - code and references
Data sets for computer labs:
Exercise 1: Lichen data, logistic regression
Exercise 2 and 3: Butterfly data, Poisson regression
SAS solutions - both exercises
Exercise 4: Sawfly data, logistic mixed model
Exercise 5: Cod data, zero-inflated poisson regression
2013 - Mixed models
Workshop in Mixed Models
Presentations:
Ulf Olsson: Mixed Models (first day)
Jan-Eric Englund: Does it matter if you use Mixed Models? (second day)
Johannes Forkman: Randomised block trials with spatial korrelation (second day)
Exercises:
Forest data:
- Description (first example in file)
- Data as SAS file
- Data as text file
- SAS solution
Dogs data:
- Description (second example in file)
- Data as SAS file
- Data as text file
- SAS solution
Ladybirds data:
Bayisa data:
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