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spring 2017

HEL-8002 Logistic Regression and Statistical Analysis of Survival Data - 3 ECTS

Sist endret: 28.03.2017

The course is provided by

Faculty of Health Sciences


Tromsø |

Application deadline

External applicants: Application deadline is December 1st for spring semester and June 1st for autumn semester. Application code 9303 in Søknadsweb.

If granted admission to the course you have to register for class and exam in Studentweb by February 1st for spring semester and September 1st for autumn semester.

PhD students and students at the Medical Student Research Program at UiT - The Arctic University of Norway go directly to Studentweb to register for class and exam.

Type of course

PhD Course. This course is available as a singular course.

Admission requirements

PhD students, Masters students at a Medical Student Research Program, or holders of a Norwegian master´s degree of five years or 3+ 2 years (or equivalent) may be admitted. Valid documentation is a statement from your institution that you are a registered PhD student, or master student at a Medical Research Program or a Master´s Diploma with Diploma Supplement / English translation of the diploma. PhD students are exempt from semester fee.

For more information regarding PhD courses at the Faculty of Health Sciences go to: http://uit.no/helsefak/forskning/phd/emner

Admission recommendations:

Introductory course in medical statistics. It is recommended that students who are planning to take HEL-8024 complete it before taking this course.

Course content

Two main topics are covered:
  • Simple, multiple and stepwise logistic regression, matched case-control studies, and ordinal logistic regression
  • Methods for analysis of survival data. Includes the Kaplan-Meier survival estimator, the log rank test, and Cox's Proportional Hazard regression model.

Objectives of the course

  • Analyze data using logistic regression models and models for the analysis of survival data (included Kaplan-Meier survival function, log rank test, and Cox proportional hazard regression).
  • Identify different types of explanatory variables and correctly implement them in a logistic or Cox regression model.
  • Interpret the results from logistic or Cox regression models.
  • Assess interaction and confounding.
  • Evaluate the model assumptions.
  • Evaluate results from publications in medical journals where logistic or Cox regression models are applied, and critically assess the validity of its use.

Language of instruction


Teaching methods

The program consists of lectures, exercises with the use of PC and review of tasks. One can choose between the program packages SPSS, STATA and SAS.


Exam and evaluation
The exam consists of a written assignment to be submitted 14 days after the assignment is distributed. Evaluated with pass / fail.

Continuation exam
The course is held annually, no continuation exam.


Course overlap

MED-8002 Statistical analysis of survival data 1 stp
MED-8004 Logistic regression 1 stp

Recommended reading/syllabus

The curriculums in the course are the compendium that largely are lecture notes. However, you will find out more about the methods and SPSS / STATA in the books and articles below.


SPSS (not survival analysis): Field A: Discovering Statistics Using SPSS.

SPSS (include survival analysis): Norusis MJ: PASW Statistics 18 Advanced Statistical Procedures (earlier version SPSS 16.0 Advanced Statistical Procedures Companion).

STATA: S. Juul: An Introduction to Stata for Health Researchers

DG Kleinbaum: Survival Analysis. A Self-Learning Text: Kap 1-5.

Kleinbaum, Kupper, Muller, Nizam: Applied Regression Analysis and Multivariate Methods: (mainly for HEL-8001 but includes a chapter on logistic regression)

DG Kleinbaum: Logistic Regression. A Self-Learning Text: Kap. 1, 2, 6.I-6.III, 8.I, 8.II, 8.IV.


Tom Wilsgaard

Telefon: +4777644825
Mobil: 92840855 tom.wilsgaard@uit.no

Karlsen, Monica

Rådgiver for ph.d.-programmet ved Det helsevitenskapelige fakultet
Telefon: +4777623279 monica.karlsen@uit.no

PhD students at UiT

PhD students and students at the Medical Student Research Program at UiT register for the course through StudentWeb

Registration for the autumn semester starts December 15th

External applicants

External applicants apply through SøknadsWeb

Choose the code 9303 and write the course code (HEL-8002) in the remark field. You'll find a manual for SøknadsWeb here.

Remember to upload documentation of your education, or documentation of your status as a PhD student / student at a medical student research programme.

For questions regarding application: forskerutdanning@support.uit.no

Useful information for external students (in Norwegian/English)

Course information

Lectures: March 13.-17.