Structural Equation Models (SEM) and Quantile Regressions applied to biodiversity-related sciences
Event
27 - 29 March 2023
This course aims to provide students with basic notions of structural equation models (SEM), a multivariate technique used to solve complex questions in biodiversity-related sciences, and quantile regression models, an alternative technique to traditional regression methods. The algebraic part of the models will not be emphasized, but their ecological applications. At the end of the course, the participant will be able to (i) formulate hypotheses and conceptual models based on complex relationships between ecological variables, (ii) apply the learnt statistical techniques, (iii) interpret and discuss the results obtained. It is required basic notion of R (R program http://www.r-project.org/).
PROGRAM (21 hours)
Day 03 | March 29, 2023
March 27th, 2023
BIOPOLIS-CIBIO, Vairão, Portugal (Face-to-face)
27 - 29 March 2023
This course aims to provide students with basic notions of structural equation models (SEM), a multivariate technique used to solve complex questions in biodiversity-related sciences, and quantile regression models, an alternative technique to traditional regression methods. The algebraic part of the models will not be emphasized, but their ecological applications. At the end of the course, the participant will be able to (i) formulate hypotheses and conceptual models based on complex relationships between ecological variables, (ii) apply the learnt statistical techniques, (iii) interpret and discuss the results obtained. It is required basic notion of R (R program http://www.r-project.org/).
PROGRAM (21 hours)
Part 1:
A brief overview of Structural Equation Models (SEM)
Correlation and regression
Acyclic graphs, conceptual models and graphical representation
D-separation in piecewise SEM and model’s coefficient estimation
Part 2:
Moving Beyond Linear Regression: an overview of Quantile Regression (QR) models and their biodiversity-related applications
QR model’s fit and coefficient estimation
Day 01 | March 27, 2023
| 9:45-13:00
A brief overview of Structural Equation Models (SEM)
Correlation and regression
| 14:00-17:45
Acyclic graphs, conceptual models and graphical representation
SEM fit with d-separation in piecewise SEM and model’s coefficient estimation
Day 02 | March 28, 2023
| 9:45-13:00
An introduction to programming using R
SEM practical exercises using R
| 14:00-17:45
SEM practical exercises using R
Day 03 | March 29, 2023
| 9:45-13:00
Overview of Quantile Regression (QR) models
Applications of QR models to biodiversity-related science
| 14:00-17:45
QR practical exercises using R
COURSE INSTRUCTORS
Fernanda Alves Martins (Coordinator) | BIOPOLIS/CIBIO-InBIO | TROPIBIO
Javier Martinez Arribas | BIOPOLIS/CIBIO-InBIO | TROPIBIO
Javier Martinez Arribas | BIOPOLIS/CIBIO-InBIO | TROPIBIO
SELECTION CRITERIA
The course will be open to a maximum number of 25 participants.
75% of available student slots are reserved for BIODIV students.
Priority will be given to:
• 1st year and other PhD students attending the BIODIV Doctoral Program;
• PhD students attending other courses;
• Other post-graduate students and researchers.
REGISTRATION
65€ (students) | 125€ (other participants). CIBIO-InBIO members will have an additional discount of 20%
Participation is free of charge for MBGE, BIODIV Students & CIBIO's TwinLabs
Participation is free of charge for MBGE, BIODIV Students & CIBIO's TwinLabs
Registration fees do not include accommodation or meals
Registration deadline: March 06, 2023