TMA4275 Life time analysis spring 2021

Lecture plan

The lectures and exercise hours of this course are set up to be

  • Lectures:
    • Mondays 08.15-10.00 in R9.
    • Tuesdays 08.15-10.00 in EL1.
  • Exercises:

HOWEVER: Due to the ongoing pandemic parts of the lectures and exercises will be digital. The table below shows the current plan for the next few weeks. If the table gives links to videos it means that there will be no physical lectures at this time. Note that all plans may be changed at short notice.

Week Date Time Lecture or exercise
2 Monday 11/1 08.15-10.00 Video 1: Practical introduction to the course, Video 2: Time axis, censoring and truncation, Video 3: Survival function and hazard rate, Video 4: Counting processes, Video 5: Modelling event history data
Tuesday 12/1 08.15-10.00 Lecture 1
Tuesday 12/1 14.15-16.00 No organised activity.
3 Monday 18/1 08.15-10.00 Video 6: Martingale (discrete time), Video 7: Variation processes (discrete time), Video 8: Stopping times and transformations (discrete time), Video 9: Doob decomposition (discrete time)
Tuesday 19/1 08.15-10.00 Lecture 2
Tuesday 19/1 14.15-16.00 In Blackboard forum and in Zoom: Exercise 1.
4 Monday 25/1 08.15-10.00 Video 10: Martingale (continuous time), Video 11: Stochastic integrals, Video 12: The Doob-Meyer decomposition, Video 13: The Poisson process, Video 14: Counting processes, Video 15: Stochastic integrals for counting process martingales
Tuesday 26/1 08.15-10.00 Lecture 3
Tuesday 26/1 14.15-16.00 In Blackboard forum and in Zoom: Exercise 2.
5 Monday 1/2 08.15-10.00 Video 16: The Nelson-Aalen estimator, Video 17: Handling of ties (Nelson-Aalen), Video 18: Gaussian martingales and martingale convergence theorem, Video 19: Large sample properties for the Nelson-Aalen estimator
Tuesday 2/2 08.15-10.00 Physical lecture!! Overheads planned to be shown in class is here. Du to technical problems they were actually not shown in class, but the content was still discussed.
Tuesday 2/2 14.15-16.00 In Blackboard forum and in Zoom: Exercise 3.
6 Monday 8/2 08.15-10.00 Video 20: The Kaplan-Meier estimator, Video 21: Large sample properties for the Kaplan-Meier estimator, Video 22: Handling of ties (Kaplan-Meier), Video 23: Estimation of median and mean survival times
Tuesday 9/2 08.15-10.00 Physical lecture!! Overheads used in class are available here
Tuesday 9/2 14.15-16.00 In Blackboard forum and in Zoom: Exercise 4.
7 Monday 15/2 08.15-10.00 Video 24: Kaplan-Meier for a Markov chain, Video 25: Competing risks, Video 26: Illness-death model, Video 27: Nonparametric tests
Tuesday 16/2 08.15-10.00 Lecture 6
Tuesday 16/2 14.15-16.00 Work with Project 1: To get help ask questions in the Project 1 forum in Blackboard or start a zoom conversation.
8 Monday 22/2 08.15-10.00 Work with Project 1: Get help physically in room R9, in the Blackboard forum or by visiting Zoom.
Tuesday 23/2 08.15-10.00 Work with Project 1: Get help physically in room EL2, in the Blackboard forum or by visiting Zoom.
Tuesday 23/2 14.15-16.00 Work with Project 1: Get help physically in room Galleri 4, in the Blackboard forum or by visiting Zoom.
9 Monday 1/3 08.15-10.00 Video 28: Regression models and relative risk regression, Video 29: Partial likelihood for relative risk regression, Video 30: Large scale properties of betahat
Tuesday 2/3 08.15-10.00 Physical lecture!! Overheads used in class are available here
Tuesday 2/3 14.15-16.00 Work with Project 1: Get help physically in room R9, in the Blackboard forum or by visiting Zoom.
10 Monday 8/3 08.15-10.00 Video 31: Estimation of cumulative hazard and survival probabilities, Video 32: Stratified relative risk model, Video 33: Model checking in Cox regression, Video 34: Vector-valued counting processes, martingales and stochastic integrals
Tuesday 9/3 08.15-10.00 Physical lecture!! Overheads used in class are available here
Tuesday 9/3 14.15-16.00 In Blackboard forum and in Zoom: Exercise 5.
11 Monday 15/3 08.15-10.00 Video 35: Estimation in the additive hazard model, Video 36: Martingales tests for additive regression models, Video 37: Parametric counting process models, Video 38: Likelihood for censored survival times
Tuesday 16/3 08.15-10.00 Physical lecture!! Overheads used in class are available here
Tuesday 16/3 14.15-16.00 In Blackboard forum and in Zoom: Exercise 6.
12 Monday 22/3 08.15-10.00 Video 39: Likelihood for counting process models, Video 40: Maximum likelihood estimator and related tests, Video 41: Parametric regression models, Video 42: The odd effects of frailty
Tuesday 23/3 08.15-10.00 Physical lecture!! Overheads used in class are available here
Tuesday 23/3 14.15-16.00 In Blackboard forum and in Zoom: Exercise 7.
13 Monday 29/3 08.15-10.00 Easter break
Tuesday 30/3 08.15-10.00 Easter break
Tuesday 230/3 14.15-16.00 Easter break
14 Monday 5/4 08.15-10.00 Easter break
Tuesday 6/4 08.15-10.00 Easter break
Tuesday 6/4 14.15-16.00 Easter break
15 Monday 12/4 08.15-10.00 Video 43: Multivariate frailty models, Video 44: Shared frailty models, Video 45: Empirical Bayes estimate of individual frailty, Video 46: The last week of the course
Tuesday 13/4 08.15-10.00 Lecture 11
Tuesday 13/4 14.15-16.00 Work with Project 2. You can get help by asking questions in the Blackboard forum and by contacting the TA in Zoom. The NTNU rules allow no physical tutoring today.
16 Monday 19/4 08.15-10.00 Work with Project 2. You can get help by asking questions in the Blackboard forum and by contacting the TA in Zoom.
Tuesday 20/4 08.15-10.00 Work with Project 2. You can get help by asking questions in the Blackboard forum, by contacting the TA in Zoom, or meeting the TA physically in the auditorium.
Tuesday 20/4 14.15-16.00 Work with Project 2. You can get help by asking questions in the Blackboard forum, by contacting the TA in Zoom, or by meeting the TA physically in the auditorium.
17 Monday 26/4 08.15-10.00 Video 47: Summary of the course, Video 48: Information about the exam,
Tuesday 27/4 08.15-10.00 Physical lecture
Tuesday 27/4 14.15-16.00 Work with Project 2. You can get help by asking questions in the Blackboard forum, by contacting the TA in Zoom, or by meeting the TA physically in the auditorium.
2021-04-23, Håkon Tjelmeland