BST/STA 222: Survival Analysis
Fall 2024

Course Syllabus

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

Class Sessions 113 Hoagland Hall:

Class is Tuesdays and Thursdays 2:10–4:00 pm
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-f24@ucdavis.edu
Canvas Site BST 222

Announcements:

There will be no class October 24.
There will be no class or office hours November 26 and 28 due to the Thanksgiving holiday.
The midterm examination will be on October 31 in class.
The final project will be due December 10.

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 26, 2024
Reading:
KM Chapter 2
Presentation: Introduction to Survival Analysis
Homework: Homework 1; due 10/10/24

October 1, 2024
Reading:
KM Chapter 3, Sections 1–3, 5
Powerpoint:Basic Quantities and Models

October 3, 2024
Reading:
KM Chapter 4, Sections 1, 2
Powerpoint:Survival Data and Methods

October 8, 2024
Reading:
KM Chapter 4, Section 3
Powerpoint:Nonparametric Survival Analysis
Homework: Homework 2; due 10/17/24

October 10, 2024
Reading:
KM Chapter 8, Sections 1–4
Powerpoint:Survival Regression

October 15, 2024
Reading:
KM Chapter 8, Sections 2, 4, 6
Powerpoint: Hypothesis Tests
Homework: Homework 3; due 10/24/24

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

October 17, 22, 2024
Reading:
KM Chapter 8, Sections 7, 8
Powerpoint: Model Building and Checking
Homework: Homework 4; due 11/7/24

October 24, 2024
No Class

October 29, 2024
Reading:
KM Chapter 9, Sections 1–3
Powerpoint: Extensions to the Cox Model: Stratification

Freireich et al. (1963)

October 31, 2024
Midterm Examination

November 5, 7, 2024
Reading:
KM Chapter 9, Sections 1–3
Powerpoint: Extensions to the Cox Model: Time Dependent Covariates and Multiple Events
Homework: Homework 5; due 11/19/24

November 12, 14, 2024
Reading:

Powerpoint: Multiple Testing and Comparisons

November 19, 2024
Reading:
KM Sections 5.1 and 5.2
Powerpoint: Interval and Double Censoring

Finkelstein and Wolfe 1985
Turnbull 1976

Powerpoint: Final Project Presentation
Homework: Final Project; due 12/10/24

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

November 21, 2024
Reading:
KM Chapter 12
Powerpoint: Parametric Survival Models

November 26, 28, 2024
Thanksgiving, No Class

December 3, 5, 2024
Reading:
KM Chapter 12
Powerpoint: Parametric Survival Regression