STATS 305B

STATS305B: Methods for Applied Statistics

Introduction

Topics covered in course

Contingency tables

Following up \(\chi^2\)
Ordinal association

Logistic regression

Models for binary outcomes
Grouped goodness of fit tests (5.2.5)

Generalized linear models

Generalized linear models (Ch. 4)
Poisson data (4.3)

Bayesian GLMs

Bayesian methods for GLMs (7.2)

Multinomial models

Multinomial models (Ch. 8)

Regularized GLMs

Penalized regression
LASSO

Loglinear GLMs

Loglinear models (Chs. 9 & 10)
From discrete to continuous: Lindsey’s method

Matched pairs

Models for matched pairs (11.1)

Survival analysis

Survival analysis
Cox (proportional hazards) model

Course wrapup

Linear models
Review

Assignments

Assignment 1
Assignment 2
Assignment 3
Assignment 4

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By Jonathan Taylor
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