Below is a complete catalog of videos and other resources from the last time I taught this class.
| Intro to Logistic Regression | video |
| Log-Loss and Brier Score | video |
| Logistic Regression definition and intuition | video |
| Logistic Regression is a linear model for the log-odds and a special case of the GLM | video |
| Minimizing log-loss and MLE are the same | video |
| Remarks on the logistic distribution | video |
| Interpretation of logistic regression coefficients and rule of beta/4 | video |
| WCGS data from Faraway Chapter 2 | video |
| WCGS data from Faraway Chapter 2, part 2 | video |
| WCGS data from Faraway Chapter 2, part 3 | video |
| Big models vs small models | video |
| Why the AIC? | video |
| Remarks about Homework (Feb 24 Segment 1) Ch. 2 problem 2 | >video |
| Perfect Separation in Logistic Regression | video |
| Logistic Regression on Stock Market Data (Feb 24 Segment 3) | video |
| Why is there no F-test for Logistic Regression? | video |
| Deviance residuals | video |
| Tests of fit for logistic regression (Feb 26 Segment 3) | video |
| The paradox of regression to the mean | video |
| What is the GLM and why is logistic regression an instance of a GLM? | video |
| Analysis of the O-rings data (Chapter 3) March 1 Segment 3 | video |
| Assorted remarks on the ideas in Chapter 3 March 3 Segment 1 | video |
| Help for Chapter 3 Problem 2 March 5 Segment 1 | video |
| Help for Chapter 3 problem 2 (g) March 8 Segment 1 | video |
| Help for Chapter 3 problem 2 (g) March 8 Segment 2 | video |
| Help for Chapter 3 problem 2 (g) March 8 Segment 3 | video |
| More about Chapter 3 problem 2 (g) (corrections) March 10 Segment 1 | video |
| Logistic Regression over alternative CDFs, and Case-Control Studies March 10 Segment 2 | video |
| March 12 Segment 1: ggplot2 with examples from the mpg data | video |
| March 12 Segment 2: Comments on Chapter 4 Problem 2 | video |
| March 12 Segment 3: Using ggplot2 to compare some probability distributions | video |
| March 15 Segment 1: More comments on Chapter 4 Problem 2, and questions about the text | video |
| March 15 Segment 2: Analysis of the bliss data from Chapter 4 in R | video |
| March 15 Link: A blog post on confidence intervals for GLMs (homework help!) | video |
| March 16 Segment 1: Review of Poisson and Negative Binomial Distributions | video |
| March 16 Segment 2: Poisson and Negative Binomial Distributions in R with ggplot2 | video |
| March 19 Segement 1: Confidence intervals for a future observation and mean response (Q on text p. 74) | video |
| March 19 Segment 2: Comments on Poisson and Negative Binomial GLMs | video |
| March 19 Segment 3: Poisson and Negative Binomial GLMs in R: checking model vs data (includes Gelman material) | video |
| March 22 Segment 1: Attenuation bias and error-in-variables models: theory and R | video |
| March 22 Segment 2: Galapagos and solder data from Chapter 5 in R. | video |
| March 22 Segment 3: Questions about the difference between linear regression and GLMs | video |
| March 24 Segment 1: Questions about Poisson regression and "offset" in R | video |
| March 24 Segment 2: Analysis of the dicentric data in R from Chapter 5 | video |
| March 24 Segment 3: Tips to improve your regression analysis, from Gelman Hill and Vehtari | video |
| March 26 Segment 1: Review of logistic and binomial regression | video |
| March 26 Link: another reference to golden retrievers (from the movie "Margin Call") | video |
| March 26 Segment 2: Common mistakes in R when fitting models | video |
| March 29 Segment 1: Simpson's Paradox and Suitability of Models | video |
| March 29 Segment 2: 4 ways to look at a 2x2 table, from Section 6.1 | video |
| March 29 Segment 3: R session for 6.1 and analysis of the 2x2 table | video |
| March 31 Segment 1: The multinomial distribution and application in Chapter 6 | video |
| March 31 Link: The chess game lost by Magnus Carlsen | video |
| March 31 Segment 2: Analysis of Hair and Eye data in R from Chapter 6 | video |
| April 2 Segment 1: Comments on Chapter 6 Problem 4: death penalty | video |
| April 2 Segment 2: Analysis of data on female smokers in Chapter 6: analog of homework | video |
| April 2 Segment 3: More about female smokers, and the McCracken tree. | video |
| April 5 Segment 1: Overview of statistical classification schemes | video |
| April 5 Segment 2: Ordinal Variables | video |
| April 7 Segment 1: Theory of Multinomial Logistic Regression | video |
| April 7 Segment 2: Homework on Multinomial | video |
| April 7 Segment 3: R Session: Multinomial Regression | video |
| April 12 Segment 1: Why a GLM? What is an exponential family? | video |
| April 12 Segment 2: How do we choose a model? | video |
| April 12 Segment 3: Looking at models with R | video |
| April 14 Segment 1: Review: Gamma Distribution | video |
| April 14 Segment 2: Inverse Gaussian Distribution | video |
| April 16 Segment 1: Overview of GLMs 1: Structure | video |
| April 16 Segment 2: Overview of GLMs 2: Deviance | video |
| April 16 Segment 3: Overview of GLMs 3: Statistical Tests | video |
| April 19 Segment 1: Comments on student solutions: Chapter 2 Problem 2 | video |
| April 21 Segment 1: GLM Diagnostics: theory | video |
| April 21 Segment 2: GLM diagnostics in R | video |
| April 23 Segment 1: Comments on homework: Chapter 8 Problem 6 | video |
| April 23 Segment 2: Building Models | video |
| April 26 Segment 1: Multilevel Models Explained | video |
| April 28 Segment 1: Homework help: Chapter 9 Problem 1 | video |
| April 28 Segment 2: Chapter 9 Problem 1 R help | video |
| April 30 Segment 1: The delta method explained | video |
| April 30 Segment 2: Multilevel Models in R | video |
| May 3 Segment 1: Multilevel models | video |
| May 3 Segment 2: Fixed and Random Effects in R | video |
| May 3 Link: Gelman's take on fixed and random effects. | video |
| May 5 Segment 1: Homework help Chapter 10 Problem 1 | video |
| May 5 Segment 2: Random Effects | video |
| May 5 Segment 3: Random Effects in R | video |
| May 6 Segment 1: Homework help Chapter 10 Problem 1 | video |
| May 6 Segment 2: More homework help Chapter 10 Problem 1 | video |
| May 6 Segment 2: Still more homework help Chapter 10 Problem 1 | video |
| May 7 Segment 1: An interview with a former Binghamton student now at Amazon | video |
| May 12 Segment 1: | video |
| May 12 Segment 2: | video |
| May 12 Link: Article from the NY Times discussed in the videos | video |
| May 14 links: Article 1 | video |
| May 14 links: Article 2 | video |
| May 14 links: Article 3 | video |
| May 14 Segment 1: A new perspective on multilevel models | video |
| May 14 Segment 2 Multilevel models in R | video |
| May 18 Segment 1: More Tips to Improve Your Regressions | video |
| May 18 Segment 2: Fixed vs Random Effects. | video |