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
Exam
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- Exam 1: assignment and solution
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- Exam 1: assignment
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Notes and other class documents
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- Some class discussion points can be found here
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- Unannotated class notes:
- Note 1: Introduction to survival data
- Note 2: Descriptive methods for survival data
- Note 3: Parametric methods
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- 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
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- Note 4: Proportional hazards regression model
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- 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 Kolmogorovâ€“Smirnov statistic that looks at the supremum of the set of distances.
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- Paper on 2 by 2 contingency table, fixed margin tests vs random margin tests.
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- 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.
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