Dear all,
we have just a few remaining seats available for our Introduction to GLMs in R
course!
Dates: Online, May 6th-10th
Course website: [ https://www.physalia-courses.org/courses-workshops/glm-in-r-1
]( https://www.physalia-courses.org/courses-workshops/glm-in-r-1 )
Introduction to statistics often entails a series of separate tests and
procedures, such as t-tests, ANOVA, ANCOVA, and regression. However, many of
these tests can be viewed as specific instances of the generalized linear
regression model (GLM). In this course, we'll present GLMs as a unified,
comprehensive, and adaptable framework for analyzing various data types. This
includes Normal (Gaussian), binary, and discrete (count) response variables,
incorporating both categorical (factors) and continuous predictors.
The course is aimed at graduate students and researchers with basic statistical
knowledge that want to learn how to analyze experimental and observation data
with generalized linear regression models in R. Basic knowledge means that we
assume knowledge about foundational statistical concepts (e.g. standard error,
p-value, hypothesis testing) that are usually covered in a first introductory
statistics class. Participants should also be familiar with Rstudio and have
some experience in programming R code, including being able to import,
manipulate (e.g. modify variables) and visualize data.
Best regards,
Carlo
--------------------
Carlo Pecoraro, Ph.D
Physalia-courses DIRECTOR
i...@physalia-courses.org
mobile: +49 17645230846
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