KLMED8004 - Introduction to Medical Statistics


Examination arrangement

Examination arrangement: School exam
Grade: Passed / Not Passed

Evaluation Weighting Duration Grade deviation Examination aids
School exam 100/100 4 hours A

Course content

Descriptive statistics, probability, probability distributions, estimation, parametric hypothesis testing, nonparametric hypothesis testing

Learning outcome

After completing the course, the student:

  • Can demonstrate factual knowledge of basic definitions used in statistics including definitions of measures of central tendency, standard deviation, binomially distributed variable, Poisson distributed variable, normally distributed variable, sampling distribution of the sample mean, sampling distribution of the proportion, point estimate, confidence interval estimate, null hypothesis, alternative hypothesis, test statistic, critical valueand p-value
  • Is able to describe the results and theorems derived from covered concepts including the central limit theorem, expressions for confidence intervals, and distributions for test statistics
  • Can identify and apply formulas given by definitions including calculation of measures of central tendency and standard deviations
  • Is able to apply results and theorems to solve problems including computation of probabilities, computation of point estimates, computation of confidence intervals for means. proportions and rates, and performing hypothesis tests
  • Has acquired a level of proficiency in the fundamental concepts and applications sufficient for further study in academic fields requiring statistics as a prerequisite, or for work in fields requiring a background in statistics

Learning methods and activities

Lectures and exercises. Approved exercises from the same or previous year are required to sit for the exam.

Compulsory assignments

  • Approved exercises

Required previous knowledge

Master's degree or similar. The course is also open for medical and master's students at the Faculty of Medicine and Health Sciences. Candidates with a lower degree will be assessed individually.

Course materials

Rosner, B: "Fundamentals of Biostatistics", 8th ed. 2015

More on the course



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


Term no.: 1
Teaching semester:  AUTUMN 2023

Language of instruction: English

Location: Trondheim

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

Department with academic responsibility
Department of Clinical and Molecular Medicine


Examination arrangement: School exam

Term Status code Evaluation Weighting Examination aids Date Time Examination system Room *
Autumn ORD School exam 100/100 A 2023-12-13 09:00 PAPIR
Room Building Number of candidates
Storhall del 2 Idrettssenteret (Dragvoll) 30
Spring ORD School exam 100/100 A 2024-05-14 09:00 PAPIR
Room Building Number of candidates
Storhall del 2 Idrettssenteret (Dragvoll) 4
  • * 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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