General information
This course is jointly organized by the University of Bologna, the PhD Course in Scienze della Terra, della Vita e dell'Ambiente and the Erasmus Mundus Doctoral Programme on Marine Ecosystem Health and Conservation (MARES*). It targets PhD students, post-docs and researchers interested in developing skills in statistical modelling and using R. The course will follow a group training methodology and will include both lectures and tutorials. There will also be an opportunity for the participants to bring their own analyses to the course for instruction. Course Content:
Introduction to R
- Installing and getting started
- Loading data
- Data manipulation
- Plotting
- Exporting data
Linear models (ANOVA, linear regressions, ANCOVA, general linear models)
- The normal distribution and statistical modelling based on normal statistics
- Maximum likelihood
Generalized Linear Models (GLM)
- Non-normal distributions
- Deviance
- AIC
Generalized Additive Models (GAM)
Mixed-Effects Models
Generalized Linear Mixed-Effects Models (GLMM)
* For MARES PhD students only, this course will be considered as 4 credits of “expert training”, to other students a certificate with number of hours and contents will be delivered.
Content
The highlighted icons, represent the fields of education (in compliance with ISCED Classification) engaged during this course/programme.
Venue
Ravenna, Italy
Application
Click here to apply: http://econsort.ugent.be/applicationform.asp?frmid=23775
Cost:
<p>380 € for non-MARES PhD students <br /> 300 € for MARES PhD students <br /> 480 € for post-docs and independent researchers </p> <p>The fees include tuition, course material and coffee breaks.</p>
Prerequisites:
A general understanding of univariate statistics and a good knowledge of the English language is expected. A basic familiarity with R is preferable, as the first day will just give an overview/refreshment of the basics of R.
Application Procedure:
You can apply by following these steps:
Step. 1: make a personal account for the application tool (click here)
Step. 2: after creating an account, you will be able to access the online application form with your login email and password
Step 3: enter all required data in the application form; personal data, CV (maximum 1 page), and practical information
Step 4: submit the application form
Confirmation of acceptance, details for payment, accommodation and logistics information will be given by the 6th of March, 2014.
Application Deadline: 4th March, 2014
Qualification
This course is jointly organized by the University of Bologna, the PhD Course in Scienze della Terra, della Vita e dell'Ambiente and the Erasmus Mundus Doctoral Programme on Marine Ecosystem Health and Conservation (MARES*). It targets PhD students, post-docs and researchers interested in developing skills in statistical modelling and using R. The course will follow a group training methodology and will include both lectures and tutorials. There will also be an opportunity for the participants to bring their own analyses to the course for instruction. Course Content:
Introduction to R
- Installing and getting started
- Loading data
- Data manipulation
- Plotting
- Exporting data
Linear models (ANOVA, linear regressions, ANCOVA, general linear models)
- The normal distribution and statistical modelling based on normal statistics
- Maximum likelihood
Generalized Linear Models (GLM)
- Non-normal distributions
- Deviance
- AIC
Generalized Additive Models (GAM)
Mixed-Effects Models
Generalized Linear Mixed-Effects Models (GLMM)
* For MARES PhD students only, this course will be considered as 4 credits of “expert training”, to other students a certificate with number of hours and contents will be delivered.
You can apply by following these steps:
Step. 1: make a personal account for the application tool (click here)
Step. 2: after creating an account, you will be able to access the online application form with your login email and password
Step 3: enter all required data in the application form; personal data, CV (maximum 1 page), and practical information
Step 4: submit the application form
Confirmation of acceptance, details for payment, accommodation and logistics information will be given by the 6th of March, 2014.
Application Deadline: 4th March, 2014
A general understanding of univariate statistics and a good knowledge of the English language is expected. A basic familiarity with R is preferable, as the first day will just give an overview/refreshment of the basics of R.
