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- SIS page: NMST531
- Schedule: officially on Monday 15:40 - 17:10 in classroom K4
- Language: materials in English, instructed in Czech (unless anybody requires English)
- Instructur e-mail: vavraj@karlin.mff.cuni.cz
- Lecture web page: http://www.karlin.mff.cuni.cz/~kulich/vyuka/cens/index.html
- Note: exercises will start by the end of October (untill then, lectures will replace exercise classes)
- CORONAVIRUS
- Untill anti-coronavirus restriction measures are cancelled, the exercises will be held in a distant form.
- Actual form of the exercise class will be decided based on agreement with all participants.
- Preferable form:
- regular self-study of given materials,
- completing given homework assignments in pre-specified deadlines,
- discussions over the last exercise and homework via ZOOM session shortly after the deadline.
- ZOOM session - each Monday at 15:40 - discussion over the solutions of homework assignments
Credit
- Satisfactory solution to given assignments by the prescribed deadline.
(If your solution will not be satisfactory enough, you might be asked for revision.)
Overview
Exercise 5 (30thNovember - 7th December)
- Topic: Testing equality of censored distributions
- Datasets: km_all.RData
- Assignment: Calculate and plot [KM], [NA] estimates and smoothed estimator of hazard function when differentiating different groups. Perform two-sample tests and decide (based on the plots) which test statistic would be the most appropriate.
- Deadline: Monday 7th December 9:00
- Topic: The choice of two-sample test statistic
- Datasets:
data(veteran)
, nurshome
- Assignment: Fill table of appropriateness of different weights in two-sample survival tests in different situations. Perform several real data analyses and simulation study.
- Deadline: Monday 14th December 9:00
Exercise 7 (14th December - 4th January)
- Topic: Building Cox models for censored data (constant covariates)
- Dataset:
pbc
dataset from library(survival)
- Assignment: Perform exploratory analysis focused on the influence of covariates on the survival probability. Build a reasonable Cox model (starting from simple univariate models). Compare your final Cox model to your final model from Exercise 1.
- Deadline: Monday 4th January 9:00
- Topic: Time-varying covariates in the Cox model
- Dataset:
jasa
and heart
dataset from library(survival)
- Assignment: Try to reproduce
heart
dataset from jasa
. Build and interpret Cox model with covariate indicating the time of heart transplantation and other fixed covariates. Does transplantation help patients to survive longer? Plot estimated survival functions.
- Deadline: Monday 18th January 9:00