Discover and read the best of Twitter Threads about #glm
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1/10: 🧪📊 Introducing Generalized Linear Models (GLMs) and how to perform them using R! A thread. #GLM #Rstats #DataScience 
2/10: 💡GLMs are a general class of regression models that extend linear regression, allowing for a variety of response distributions & link functions. They're used for modeling relationships between a response variable & one or more explanatory variables. #RStats #DataScience
3/10: 📐The main components of a GLM are:
Random Component: The response variable's distribution (e.g., Gaussian, Poisson, Binomial)
Systematic Component: Linear predictor (linear combo of explanatory variables)
Link Function: Connects the two components. #Rstats #DataScience
Random Component: The response variable's distribution (e.g., Gaussian, Poisson, Binomial)
Systematic Component: Linear predictor (linear combo of explanatory variables)
Link Function: Connects the two components. #Rstats #DataScience
I am performing some tests with multiband EPI sequences. Why are the beta values of the GLM higher for the sequences with lower TR? @practiCalfMRI @fmrwhy @fMRI_today @fMRIstats
#fmri #multiband #magneticresonanceimaging #glm
#fmri #multiband #magneticresonanceimaging #glm
I have performed some tests with simulated data at different sampling rates and it does not seem to affect the GLM results
Just a quick follow-up: I simulated four BOLD signals at four different sampling rates.
