TuTh 10:00 am to 11:15 am @ CB 1.214

Instructor: Steven Chiou
Website maintainer: Anthony Phung

This site is generated from a R Markdown document.

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

Presentation order

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

Homework

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

Exam

Exam 1: assignment and solution

Notes and other class documents

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

Useful links

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 Kolmogorov–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.