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Understanding Generalized Linear Models (Logistic, Poisson, etc.)

Do you want to take a class with me? Visit https://simplistics.net to register for a class. You can either do "live" classes, where you'll learn from me directly via zoom. Or you can register for "self-guided" courses, complete with a schedule, discussion boards, quizzes, readings, etc. See my original video on GLMS here:    • Become a generalized linear model nin...   Probability density functions:    • Probability, Part 3: Probability Dens...   Poisson does mean fish, but the distribution was named after a mathematician: https://en.wikipedia.org/wiki/Poisson... Nested versus non-nested models:    • Model Comparisons in R   Learning Objectives: #1.Understand when to use GLMS #2. Know the three components of a GLM #3. Difference between transformation and a link function #4. Know when to use logistic, poisson, gamma, etc. This video is part of my multivariate playlist:    • Multivariate Statistics   And here's a paper I wrote about my eight step approach to data analysis: https://psyarxiv.com/r8g7c/ Undergraduate curriculum playlist (GLM-based approach): https://www.youtube.com/playlist?list... Graduate curriculum playlist (also GLM-based approach): https://www.youtube.com/playlist?list... Exonerating EDA paper: https://psyarxiv.com/5vfq6/ Download JASP (and visual modeling module): www.jasp-stat.org