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Censored Data Analysis (NMST511), exercise class

Winter semester 2023–24

 SIS pages of the course: ENG CZE

TIMETABLE

 Lectures: Thursday 13:10 in Praktikum KPMS (doc. RNDr. Daniel Hlubinka, Ph.D.) Exercise class: Tuesday 10:40 in K4

ANNOUNCEMENTS

In the first few weeks of semester the slot of the exercise class will be used for the lecture as well.

On Monday, December 11 at 14:00 in Praktikum KPMS there will be an extra exercise class (will be compensated by shorter lectures).

The last assignment will be related to Exercise No. 7 being held before the Christmas break.

EXERCISE CLASS MATERIALS

Exercise 1 (07/11/2023)

Topic: Parametric regression models for censored data
 Dataset: pbc dataset from the R package survival Assignment: Find a suitable model for the survival time and interpret it.

Exercise 2 (21/11/2023)

Topic: Non-parametric estimation of cumulative hazard and survival function
 Dataset: fans Assignment: Calculate and plot [NA], [KM], [FH] estimates, both manually and using the survfit function from the survivalpackage.

Exercise 3 (28/11/2023)

Topic: Actuarial (lifetable) estimator of the survival
 Dataset 1: NursingHoume Dataset 2: mort2022 Dataset 3: umrtnost_cr_m_2022 Dataset 4: umrtnost_cr_z_2022 Assignment: Actuarial (lifetable) estimators of the survival.

Exercise 4 (05/12/2023)

Topic: Confidence intervals and bands for the survival function
 Dataset: km_all Assignment: Confidence intervals and bands for the survival function.

Exercise 5 (11/12/2023)

Topic: Testing equality of survival distributions and choice of the two-sample test statistic
 Dataset: Assignment:

Exercise 6 (12/12/2023)

Topic: Building the Cox model (time-constant covariates)
 Dataset: Assignment:

Exercise 7 (19/12/2023)

Topic: Time-varying covariates in the Cox model
 Dataset: Assignment:

Exercise 8 (09/01/2024)

Topic: Generalizations of the Cox model
 Dataset:

REQUIREMENTS TO GET A COURSE CREDIT (ZÁPOČET)

The course credit for the exercise class will be awarded to the student who hands in a satisfactory solution to each assignment by the prescribed deadline which is 1st January 2024 (20:24 CET). The nature of these requirements precludes any possibility of additional attempts to obtain the exercise class credit.

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