course-details-portlet

TMA4275

Lifetime Analysis

Choose study year

Lessons are not given in the academic year 2024/2025

Credits 7.5
Level Second degree level
Language of instruction English
Location Trondheim

About

About the course

Course content

Basic concepts in lifetime modelling and in martingale theory. Censored observations. Nonparametric estimation and graphical plotting for lifetime data (Kaplan-Meier, Nelson-Aalen plot). Estimation and testing in parametric lifetime distributions. Analysis of lifetimes with covariates (Cox-regression, accelerated lifetime testing). Modelling and analysis of recurrent events. Nonhomogeneous Poisson-processes. Nelson-Aalen estimators.

Learning outcome

1. Knowledge. The student has a thorough knowledge of the basic theory of stochastic modelling and statistical analysis of survival data, including graphical techniques. This includes both parametric and non-parametric analysis of censored survival data and data for recurrent events, as well as related regression models, such as Cox regression. The graphical techniques include the Kaplan-Meier plot, the Nelson-Aalen plot and simple plots for model checking.

2. Skills. The student is able to apply his or her knowledge on various situations from technical reliability analysis, risk analysis, medicine and other relevant applications, involving the concept of survival in a broad sense. Such applications include the establishment of an appropriate model, data analysis using statistical software, and formulation of conclusions in the form of estimates, predictions and practical advice.

Learning methods and activities

Lectures, exercises and works (projects).

The final written school exam is only given in English. Students are free to choose Norwegian or English for their solutions of written assessments.

Compulsory assignments

  • Projects

Further on evaluation

The grade awarded in the course is based on works (projects) (30%) and final written school exam (70%).

Retake of the final written school exam may be given as an oral examination. The retake exam is in August.

Course materials

To be announced at the start of the course.

Credit reductions

Course code Reduction From
SIF5075 7.5 sp
This course has academic overlap with the course in the table above. If you take overlapping courses, you will receive a credit reduction in the course where you have the lowest grade. If the grades are the same, the reduction will be applied to the course completed most recently.

Subject areas

  • Statistics
  • Technological subjects

Contact information

Department with academic responsibility

Department of Mathematical Sciences