WeekDateTopicLecture slidesLecture notesR examplesDue
12023-01-03Introduction to GLMLecture 1Lecture 1Data example 1
12023-01-05GLM concepts and estimationLecture 2Lecture 2
22023-01-10Statistical Inference for GLMLecture 3Lecture 3
22023-01-11HW1 due at 11:59pm
22023-01-12Deviance AnalysisLecture 4Lecture 4Data example 2
32023-01-17GLM computation, Binary modelsLecture 5Lecture 5Data example 3, part I
32023-01-19Binary model applications, inference and computationLecture 6Lecture 6Data example 3, part II
42023-01-24Multinomial GLM: nominal responseLecture 7Lecture 7Data example 4, part I
42023-01-25HW2 due at 11:59pm
42023-01-26Multinomial GLM: ordinal responseLecture 8Lecture 8Data example 4, part II
52023-01-31GLM for counts: log-linear model and contingency tablesLecture 9Lecture 9Data example 5
52023-02-02GLM for counts: over-dispersion and zero-inflationLecture 10Lecture 10Data example 6
62023-02-07Midterm Exam
62023-02-09HW3 due at 11:59pm
62023-02-09Beta-binomial GLMLecture 11Lecture 11
72023-02-14Quasi-likelihood, Sandwich estimatorLecture 12Lecture 12Data example 7
72023-02-16Linear mixed effect models (LMM)Lecture 13Lecture 13
82023-02-21Linear mixed effect models examplesLecture 14Data example 8
82023-02-23Generalized linear mixed effect models examplesLecture 15Lecture 15Data example 9
92023-02-27HW4 due at 11:59pm