## EPI 204 Quantitative Epidemiology III: Statistical Models

Spring 2017

**Instructor:** David M. Rocke (dmrocke@ucdavis.edu)

**TA:** Andrew Farris
(affarris@ucdavis.edu)

### Textbooks:

**Logistic Regression: A Self-Learning Text (3rd ed.)**, Kleinbaum & Klein, Springer, 2010

Available to download at no cost

http://link.springer.com/book/10.1007/978-1-4419-1742-3/page/1 if on campus.

Use PulseSecure VPN if off campus.

**Survival Analysis: A Self-Learning Text (3rd ed.)**, Kleinbaum & Klein, Springer, 2012

Available to download at no cost

http://link.springer.com/book/10.1007/978-1-4419-6646-9/page/1 if on campus.

Use PulseSecure VPN if off campus.

### Class Notes

**April 4, 2017**

Reading: Logistic Regression Chapters 1–3

**Presentation:** Introduction to Logistic Regression

**Homework:** Homework 1

**April 11, 2017**

Reading: Logistic Regression Chapter 4

**Powerpoint:** Logistic Regression and Likelihood

Homework: See Powerpoint for HW 2a; due 4/18/17

**Homework:** Homework 2b

Byssinosis Data (csv)

**April 13, 2017**

Reading: Logistic Regression Chapter 5

**Powerpoint:** Inference for Logistic Regression: Likelihood Ratio Tests

R input script for Evans Data

Evans Data (dat)

**April 18, 2017**

Reading: Logistic Regression Chapter 5

**Powerpoint:** Inference for Logistic Regression: Wald Tests

Homework: See Powerpoint for HW 3a; due 4/25/17

**Homework:** Homework 3b

**April 20, 2017**

Reading: Logistic Regression Chapters 6-8

**Powerpoint:** Variable Selection and Modeling in Logistic Regression

Homework: See Powerpoint; due 4/27/17

**April 25, 27, 2017**

Reading: Logistic Regression Chapters 9 and 10

**Powerpoint:** Diagnostics and Goodness of Fit

Homework: See presentation; due 5/4/17

**May 2, 2017**

Reading: Logistic Regression Chapters 9 and 10

**Powerpoint:** Prediction and Classification

Powerpoint: Logistic Regression for Matched Data

Homework: ROC curve for your model; due 5/9/17

**May 4, 2017**

Reading: Logistic Regression Chapter 11

**Powerpoint:** Poisson Regression

Homework: Poisson regression exercise from Powerpoint, due 5/16/17

**May 9, 11, 2017**

Reading: Survival Analysis Chapters 1 and 2

**Powerpoint:** Introduction to Survival Analysis

Homework:

**May 16, 2017**

Reading: Survival Analysis Chapter 3

**Powerpoint:** The Cox Model

Homework:

**May 18, 2017**

Reading: Survival Analysis Chapter 3

**Powerpoint:** Survival Regression with the Cox Model

Homework: Homework with the addicts data set, due 5/25/17

addicts.txt

addicts.input.R

**May 23, 25, 2017**

Reading: Survival Analysis Chapter 4

**Powerpoint:** Model Building and Checking for Cox Models

Homework:

**May 25, 2017**

Reading: Survival Analysis Chapter 5

**Powerpoint:** Stratified Cox Models

Homework: Model Checking and Strata with addicts data set, due 6/6/17

anderson.dat

anderson.input.R

**May 30, 2017**

Reading: Survival Analysis Chapter 6

**Powerpoint:** Time-Dependent Covariates and Multiple Events

**Powerpoint:** Logistic Regression Solutions

Homework: Survival Analysis Homework, due 6/8/17

bmt.prep.R

bladder.dat

bladder.input.R

**June 1, 2017**

Reading:

**Powerpoint:** Introduction to Random Effects and Mixed Models

Homework:

**June 6, 2017**

Reading:

**Powerpoint:** Multilevel Models

Homework:

**June 8, 2017**

Reading:

**Powerpoint:** Multilevel Models II

Homework: Survival Analysis Assignment Solutions