ONLINE COURSE – Introduction to generalised linear models using R and Rstudio (IGLM08)
https://www.prstats.org/course/introduction-to-generalised-linear-models-using-r-and-rstudio-iglm08/ Use discount code 'JAN25' to make the most of our Jan sale worth 20% off all courses 25th - 27th February 2025 Instructor - Dr. Rafael De Andrade Moral COURSE OVERVIEW: This course provides a comprehensive practical and theoretical introduction to generalized linear models using R. Generalized linear models are generalizations of linear regression models for situations where the outcome variable is, for example, a binary, or ordinal, or count variable, etc. The specific models we cover include binary, binomial, and categorical logistic regression, Poisson and negative binomial regression for count variables, as well as extensions for overdispersed and zero-inflated data. We begin by providing a brief overview of the normal general linear model. Understanding this model is vital for the proper understanding of how it is generalized in generalized linear models. Next, we introduce the widely used binary logistic regression model, which is is a regression model for when the outcome variable is binary. Next, we cover the binomial logistic regression, and the multinomial case, which is for modelling outcomes variables that are polychotomous, i.e., have more than two categorically distinct values. We will then cover Poisson regression, which is widely used for modelling outcome variables that are counts (i.e the number of times something has happened). We then cover extensions to accommodate overdispersion, starting with the quasi-likelihood approach, then covering the negative binomial and beta-binomial models for counts and discrete proportions, respectively. Finally, we will cover zero-inflated Poisson and negative binomial models, which are for count data with excessive numbers of zero observations. Please email oliverhoo...@prstatistics.com with any questions. January ONLINE COURSE – Using Google Earth Engine in Ecological Studies (GEEE01) This course will be delivered live <https://www.prstats.org/course/using-google-earth-engine-in-ecological-studies-geee01/> ONLINE COURSE – Time Series Analysis and Forecasting using R and Rstudio (TSAF01) This course will be delivered live <https://www.prstats.org/course/time-series-analysis-and-forecasting-using-r-and-rstudio-tsaf01/> February ONLINE COURSE – Machine Vision using Python (MVUP01) This course will be delivered live <https://www.prstats.org/course/machine-vision-using-python-mvup01/> ONLINE COURSE – Machine Learning using Python (MLUP01) This course will be delivered live <https://www.prstats.org/course/machine-learning-using-python-mlup01/> ONLINE COURSE – Species Distribution Modelling With Bayesian Statistics Using R (SDMB06) This course will be delivered live <https://www.prstats.org/course/online-course-species-distribution-modelling-with-bayesian-statistics-using-r-sdmb06/> ONLINE COURSE – Remote sensing data analysis and coding in R for ecology (RSDA01) This course will be delivered live <https://www.prstats.org/course/remote-sensing-data-analysis-and-coding-in-r-for-ecology-rsda01/> ONLINE COURSE – Introduction to generalised linear models using R and Rstudio (IGLM08) This course will be delivered live <https://www.prstats.org/course/introduction-to-generalised-linear-models-using-r-and-rstudio-iglm08/> ONLINE COURSE – Community Analytics in Ecology and Evolutionary Biology for Beginners (CAFB01) This course will be delivered live <https://www.prstats.org/course/community-analytics-in-ecology-and-evolutionary-biology-for-beginners-cafb01/> March ONLINE COURSE – Introduction To Mixed Models Using R And Rstudio (IMMR09) This course will be delivered live <https://www.prstats.org/course/introduction-to-mixed-models-using-r-and-rstudio-immr09/> ONLINE COURSE – Stable Isotope Mixing Models using SIBER, SIAR, MixSIAR (SIMM11) This course will be delivered live <https://www.prstats.org/course/online-course-stable-isotope-mixing-models-using-siber-siar-mixsiar-simm11/> ONLINE COURSE – Multivariate Analysis Of Ecological Communities Using R With The VEGAN package (VGNR07) This course will be delivered live <https://www.prstats.org/course/multivariate-analysis-of-ecological-communities-using-r-with-the-vegan-package-vgnr07/> May ONLINE COURSE – Movement Ecology Using R(MOVE07) This course will be delivered live <https://www.prstats.org/course/movement-ecology-using-rmove07/> June ONLINE COURSE – Tidyverse for Ecologists and Evolutionary Biologists (TIDY01) This course will be delivered live <https://www.prstats.org/course/online-course-tidyverse-for-ecologists-and-evolutionary-biologists-tidy01-this-course-will-be-delivered-live/> -- Oliver Hooker PhD. PR stats To unsubscribe from this list please go to https://community.esa.org/confirm/?u=RhPWqPxFwODKvbkiT32nkIqRrsiSgulp
