Week 3 OH

Tuesday, Feb 8 Lab

Thursday Feb 3 Office Hours

Tuesday, February 1 Lab Week 2

Office Hours Thursday January 27

L13.3 Missing Data

L13.2 GLMMs in R

L13.1: Intro to Generalized Linear Mixed Models

L12.3: GEEs for Binary and Count Data

L12.2: GEEs for Continuous Data

L12.1: Introduction to GEEs

L11.4: Inference for LMMs

L11.3 Random Effects Models in R

L11.2: Random Intercept and Slope Models

L11.1: Intro to Linear Mixed Models

L10.4 EDA for LDA Part 2

L10.3: Correlation Structures

L10.2: EDA for the Mean

L10.1: Intro to LDA

L9.4: Overdispersion in Count Data

L9.3 Poisson Regression in R

L9.2: Poisson Regression

L9.1: Count Data

L7.1 Other link functions for binary data

L6.4 Conditional Logistic Regression in R

L6.3 Conditional Logistic Regression

L6.2 Matched Case-Control Studies

L6.1 Case-Control Studies

L5.4 Convergence problems in logistic regression

L5.3 Logistic Regression Diagnostics