Schedule of Live and in-house courses
- September 2022: Data Exploration, Regression, GLM & GAM with an introduction to R.
- October 2022: In-house course for Nord University: Spatial GLMs using R-INLA.
- October 2022: Introduction to GAM and GAMM.
- November 2022: In-house course for the University of Helsinki: Introduction to GAM and GAMM.
- November 2022: Time series analysis using regression techniques.
- February 2023: Mixed-effects models and GLMM using nlme, lme4, and glmmTMB.
In-house courses are only accessible to students and members of staff from the organizing institute. These typically run from 09.00-16.00 local time.
Course: Data Exploration, Regression, GLM & GAM with introduction to R Format: Online course with on-demand video and live Zoom meetings The course fee includes a 1-hour face-to-face video chat with one or both instructors. Live summary sessions using Zoom will run in September 2022. Start any time. Price: 500 GBP Participants from developing countries are entitled to a 50% reduction. Course Flyer Register here |
Course: Introduction to Regression Models with Spatial Correlation using R-INLA Format: In-house online course for Nord University. Live teaching using Zoom from 09.00-16.00 Norwegian time The course fee includes a 1-hour face-to-face video chat with one or both instructors. Price: 500 GBP Course Flyer Register here |
Course: Introduction to Linear Mixed Effects Models and GLMM (frequentist version) Format: Online course with on-demand video and live Zoom meetings The course fee includes a 1-hour face-to-face video chat with one or both instructors. Live summary sessions using Zoom will run in February 2023. Start any time. Price: 500 GBP Participants from developing countries are entitled to a 50% reduction. Course Flyer Register here |
The following courses can be done with self-study (using on-demand video and customized interaction).
- Introduction to R using a protocol for conducting and presenting results of regression-type analyses (see flyer below).
- Data Exploration, Regression, GLM & GAM with an introduction to R (see flyer above).
- Mixed-effects models and GLMM using nlme, lme4, and glmmTMB (see flyer above).
- Introduction to zero-inflated GLMs and GLMM. Using frequentist tools (see flyer above).
- Mixed-effects models and GLMM using R-INLA (see flyer below).
- Spatial GLMs using R-INLA (see flyer below).
- Zero-inflated GLM, GAM, GLMM and GAMM for the analysis of spatial and spatial-temporal correlated data using R-INLA (see flyer below).
Course: Introduction to Zero-Inflated GLM and GLMM with R. Using frequentist tools. With power analysis. Format: Online course with on-demand video and live Zoom meetings The course fee includes a 1-hour face-to-face video chat with one or both instructors. Live summary sessions using Zoom will run in March and April 2022. Start any time. Price: 500 GBP Participants from developing countries are entitled to a 50% reduction. Course Flyer Register here |
Course: Introduction to Regression Models with Spatial Correlation using R-INLA Format: Online course with on-demand video and live Zoom meetings The course fee includes a 1-hour face-to-face video chat with one or both instructors. Live summary session using Zoom will run in May 2022. Start any time. Price: 500 GBP Participants from developing countries are entitled to a 50% reduction. Course Flyer Register here |
Course: Introduction to R using a protocol for conducting and presenting results of regression-type analyses. Format: Online self-study course with on-demand video. Price: 100 GBP Interaction between participants and instructors:
Register here |
Course: Zero-inflated GLM, GAM, GLMM and GAMM for the analysis of spatial and spatial-temporal correlated data using R-INLA. Format: Online self-study course with on-demand video. Price: 750 GBP Participants from developing countries are entitled to a 50% reduction. Interaction between participants and instructors:
Register here |
Course: Introduction to Linear Mixed Effects Models and GLMM with R-INLA (Bayesian) Format: Online course with on-demand video. Price: 500 GBP Participants from developing countries are entitled to a 50% reduction. Interaction between participants and instructors:
Register here |