BST/STA 222: Survival Analysis
Fall 2023

Course Syllabus

Instructor: David M. Rocke (dmrocke at ucdavis.edu)
TA: Brittany Lemmon (blemmon at ucdavis.edu)

Class Sessions 107 Cruess Hall:

The lecture part of class will be roughly 2:10–3:30 pm
The lab component will be homework help and Q&A with Brittany, roughly 3:40–4:00 pm

Office Hours Med Sci 1C 140B:

Tuesdays 10:30am–11:30am in person at my office.
Or by appointment, in person or Zoom.

The lecture slides will be posted.

Contact Information:

Office 140B Med Sci 1 C
Office Phone (530) 752-6999
Cell (530)-304-1019
E-mail dmrocke@ucdavis.edu
Web Site http://dmrocke.ucdavis.edu/
Email List bst-sta222-f22@ucdavis.edu
Canvas Site BST 222

Announcements:

There will be no class or office hours on November 21 due to the Thanksgiving holiday. I will be available for questions by Zoom.

Resources

Student Resource FAQ Page

Introductory Statistics with R (Textbook)

https://cran.r-project.org/bin/windows/base/

https://www.bigbookofr.com

https://www.rstudio.com/products/rstudio/

https://rstudio-education.github.io/hopr/starting.html

https://www.sas.com/en_us/software/on-demand-for-academics/references/getting-started-with-sas-ondemand-for-academics-studio.html

Textbooks:

Required:

Survival Analysis : Techniques for Censored and Truncated Data.
Klein, John P. and Moeschberger, Melvin L., Springer, 2005. (Free e-book from Springer site)

Optional:

Statistical Analysis of Failure Time Data, Second Edition.
John Kalbfleisch and Ross Prentice, Wiley, 2002.
Mostly useful for parametric survival analysis.

Applied Survival Analysis Using R.
Dirk Moore, Springer, 2016.

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


Class Notes:

September 28, 2023
Reading:
KM Chapter 2
Presentation: Introduction to Survival Analysis
Homework: Homework 1; due 10/10/23

October 3, 2023
Reading:
KM Chapter 3, Sections 1–3, 5
Powerpoint:Basic Quantities and Models

October 5, 2023
Reading:
KM Chapter 4, Sections 1, 2
Powerpoint:Survival Data and Methods

October 10, 2023
Reading:
KM Chapter 4, Section 3
Powerpoint:Nonparametric Survival Analysis
Homework: Homework 2; due 10/19/23

October 12, 2023
Reading:
KM Chapter 8, Sections 1–4
Powerpoint:Survival Regression
Homework: Homework 3; due 10/26/23

addicts data
R code to import addicts data (use source)

October 17, 2023
Reading:
KM Chapter 8, Sections 2, 4, 6
Powerpoint: Hypothesis Tests

October 19, 24, 2023
Reading:
KM Chapter 8, Sections 7, 8
Powerpoint: Model Building and Checking
Homework: Homework 4; due 11/2/23

October 26, 2023
Reading:
KM Chapter 9, Sections 1–3
Powerpoint: Extensions to the Cox Model: Stratification
Homework: Homework 5; due 11/9/23

Freireich et al. (1963)

October 31, November 2, 2023
Reading:
KM Chapter 9, Sections 1–3
Powerpoint: Extensions to the Cox Model: Time Dependent Covariates and Multiple Events
Powerpoint: Midterm Project
Homework: Midterm Project; due 11/16/23

Ichida et al. (1993)
burn.prep.R

November 7, 2023
Reading:

Powerpoint: Multiple Testing and Comparisons
Homework: Final Group Project; Presented in class 12/5 or 12/7

November 9, 2023
Reading:
KM Sections 5.1 and 5.2
Powerpoint: Interval and Double Censoring

Finkelstein and Wolfe 1985
Turnbull 1976

November 14, 2023
Reading:
KM Chapter 12
Powerpoint: Parametric Survival Models

November 16, 28, 2023
Reading:
KM Chapter 12
Powerpoint: Parametric Survival Regression

November 21, 23, 2023
Thanksgiving, No Class

November 30, 2023
Possible Exam?

December 5, 7, 2023
In class presentation of final group projects.