Instructor: Steven Chiou

Website maintainer: Anthony Phung

See the class GitHub page for the most up-to-date class materials.

**Tuesday, December 4:**Jose Alfaro, Kelly Daescu, Tianjian Shi**Thursday, December 6:**Anthony Phung, Patrick Thompson

- Homework 1: assignment and solution
- Homework 2: assignment and solution
- Homework 3: assignment and solution
- Homework 4: assignment

- Exam 1: assignment and solution

- Note 1: Introduction to survival data
- Note 2: Descriptive methods for survival data
- Note 3: Parametric methods
- Note 4: Proportional hazards regression model - theory
- Note 5: Proportional hazards regression model -
`coxph`

outputs - Note 6: Proportional hazards regression model - residuals
Note 7: Semiparametric accelerated failure time model

- Annotated notes can be found on eLearning
- Syllabus can be found here
Project suggestions can be found here

- Technical issues brought up during lecture can often be found in the class discussions
- Some ideas on setting up your machine are here
- Introduction to
`tibble`

can be found here and here - A nice discussion on
`tibble`

vs.`data.frame`

is here - Wiki pages for sign test and Wilcoxon signed-rank test.
- Wiki page for Kolmogorovâ€“Smirnov statistic that looks at the supremum of the set of distances.
- A paper on 2 by 2 contingency table, fixed margin tests vs random margin tests.
- A paper on generating survival times to simulate Cox proportional hazards models with time-varying covariates.