Dear all,
Unlock the power of Generalized Linear Models (GLMs) as a unified framework for
data analysis in R! Join our upcoming online course, scheduled from May 6-10.
Gain a comprehensive understanding of GLMs and learn to analyze various data
types, including Normal, binary, and discrete response variables. Explore the
unified and easily extendable framework that GLMs provide, covering both
categorical factors and continuous predictors.
Perfect for graduate students and researchers with basic statistical
knowledge, this course caters to those eager to delve into experimental and
observational data analysis using GLMs in R. Basic statistical concepts and
familiarity with RStudio are prerequisites, making this course ideal for those
with a programming background in R.
Learning Outcomes:
Specify and fit GLMs in R, selecting the appropriate distribution and link
function for your data.
Interpret parameter estimates, including categorical predictors, and calculate
predictions.
Master model selection principles to choose the correct regression formula for
your questions.
Visualize fitted models, check assumptions, and effectively communicate results.
Lay the foundations for advanced regression models, such as Generalized Linear
Mixed Models and Bayesian modeling.
Enroll now and elevate your data analysis skills! Limited seats available: [
https://www.physalia-courses.org/courses-workshops/glm-in-r-1 ](
https://www.physalia-courses.org/courses-workshops/glm-in-r-1 )
Feel free to reach out if you have any questions or need further information.
We look forward to having you on board!
Best regards,
Carlo
--------------------
Carlo Pecoraro, Ph.D
Physalia-courses DIRECTOR
i...@physalia-courses.org
mobile: +49 17645230846
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