KLMED8005 - Medical Statistics, part 2


Examination arrangement

Examination arrangement: Home examination
Grade: Passed/Failed

Evaluation form Weighting Duration Examination aids Grade deviation
Home examination 100/100 4 hours

Course content

Correlation, simple and multiple linear regression, one-way analysis of variance and covariance (ANOVA/ANCOVA), non-parametric Kruskal-Wallis test, two-way ANOVA (with/without interaction), general linear model (GLM), logistic regression, survival analysis (Kaplan-Meier method, log-rank test, Cox proportional hazard regression model).

Learning outcome

After successful completion of KLMED8005 the student should …

• have achieved theoretical knowledge about statistical methods (see academic content) commonly used within medical research to examine simple and more complex issues
• be able to choose statistical method for analyzing data, given scientific question of interest, study design, and characteristics of empirical data (application of theoretical method)
• understand the main principle of estimation and hypothesis testing in relation to the different theoretical methods
• be able to perform the technical work with statistical analyses of empirical data by means of a statistical program package
• be able to critically evaluate validity of results in view of assumptions on the statistical model
• be able to interpret and describe the results from statistical analyses of empirical data (for methods described in academic content)

Learning methods and activities

Lectures and exercises. Approved compulsory exercise (one individual hand in) from the same or previous semesters are required to sit for the exam. Approved compulsory activities are valid for three subsequent semesters after approval.

Compulsory assignments

  • Handing in exercise assignment

Specific conditions

Exam registration requires that class registration is approved in the same semester. Compulsory activities from previous semester may be approved by the department.

Required previous knowledge

Master degree or similar. Medical students at The Student Research Programme. Candidates with a lower degree will be assessed individually.

Course materials

Rosner, B: "Fundamentals of Biostatistics", 8th ed. 2016
Lecture notes

Credit reductions

Course code Reduction From To
ST2303 3.5 01.09.2007
ST3000 2.5 01.09.2007
More on the course



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


Term no.: 1
Teaching semester:  SPRING 2021

Language of instruction: English

Location: Trondheim

Subject area(s)
  • Medicine
  • Statistics
Contact information
Course coordinator: Lecturer(s):

Department with academic responsibility
Department of Clinical and Molecular Medicine



Examination arrangement: Home examination

Term Status code Evaluation form Weighting Examination aids Date Time Digital exam Room *
Autumn ORD Home examination 100/100

Release 2020-11-30

Submission 2020-11-30

Release 09:00

Submission 13:00

Room Building Number of candidates
Spring ORD Home examination 100/100

Release 2021-05-12

Submission 2021-05-12

Release 09:00

Submission 13:00

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.

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

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