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EnvSci601 2023 Class 11: GLMs (Poisson), GAMs and rcs
The 5:30 - 8:15 PM class on 11/14/23 comprises:
Homework 8 Basic Homework Solutions (5:30 PM - 6:15 PM)
ex13.17: Dinosaur Extinctions - An Observational Study Skyla Agostono
ex13.20 : Gender Differences in Performance on Mathematics Acheivement Tests Kara Falvey
ex13.19 Nature-Nurture Anant Misra
ex13.21 & 13.22 Pygmalion old and new methods, with Master: Mixed Effects models Quinn Pham
Bayesian model averaging of binary logistic regression models:
Background talk on Model Uncertainty and Averaging for Categorical Data Analysis
Chapter 21: Multinomial logistic regression (Andrews 2021 is a great guide)
Sleuth Chapter 22: Poisson regression
Case Study 22.2 Characteristics Associated with Salamander Habitat_–An Observational Study
Melanie Jetter’s Poisson Regression of New England Tornados
Case Study Migrating Elk, a Poisson regression with minutes spent vigilant as the response variable.
Frank Harrell’s Regression Modeling Strategies: Highlights
Harrell’s Titanic analysis using binomial logistic regression and rcs
Gallagher’s Donner Party Analysis with Restricted Cubic Splines & GAMs
Harrell’s Example of Poisson Regression & Restricted Cubic Splines: Sicilian hospital admissions for acute coronary events after a smoking ban in Sicily 10 Jan 2005 (Bernal et al. 2017)
Week 3 lecture (9/28/21) On Statistical Sleuth 3rd edition Chapter 5: ANOVA
A lecture in UMass Boston's EnvSci601
Eugene D. Gallagher
Associate Professor
EnvSci601 Week 2 Fall 2021
9/14/21 5:30 - 8:15 class for Eugene Gallagher's EnvSci601 Applied statistics class. The class is on Ramsey & Schafer's Statiscal Sleuth 3d edition Chapters 2 & 3.
EnvSci601 Week 1
Introduction to the course, R, RStudio, and R Markdown, and Statistical Sleuth Chapter 1