course-details-portlet

TMA4275 - Lifetime Analysis

About

Examination arrangement

Examination arrangement: Aggregate score
Grade: Letter grades

Evaluation Weighting Duration Grade deviation Examination aids
Project 30/100
School exam 70/100 4 hours C

Course content

Basic concepts in lifetime modelling. 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 grade awarded in the course is based on works (projects) (30%) and final written school exam (70%). The lectures may be given in English. The final written school exam is only given in English. Students are free to choose Norwegian or English for written assessments.

Compulsory assignments

  • Projects

Further on evaluation

Retake of the final written school exam may be given as an oral examination.

Specific conditions

Compulsory activities from previous semester may be approved by the department.

Course materials

To be announced at the start of the course.

Credit reductions

Course code Reduction From To
SIF5075 7.5
More on the course
Facts

Version: 1
Credits:  7.5 SP
Study level: Second degree level

Coursework

Term no.: 1
Teaching semester:  SPRING 2023

Language of instruction: English

Location: Trondheim

Subject area(s)
  • Statistics
  • Technological subjects
Contact information
Course coordinator:

Department with academic responsibility
Department of Mathematical Sciences

Examination

Examination arrangement: Aggregate score

Term Status code Evaluation Weighting Examination aids Date Time Examination system Room *
Spring ORD School exam 70/100 C INSPERA
Room Building Number of candidates
Spring ORD Project 30/100 INSPERA
Room Building Number of candidates
Summer UTS School exam 70/100 C INSPERA
Room Building Number of candidates
  • * The location (room) for a written examination is published 3 days before examination date. If more than one room is listed, you will find your room at Studentweb.
Examination

For more information regarding registration for examination and examination procedures, see "Innsida - Exams"

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