course-details-portlet

KLMED8005 - Medical Statistics, part 2

About

This course is no longer taught and is only available for examination.

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

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

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 AUTUMN 2007
ST3000 2.5 AUTUMN 2007
KLMED8019 1.5 AUTUMN 2022
KLMED8016 2.5 AUTUMN 2022
KLMED8015 3.5 AUTUMN 2022
More on the course

No

Facts

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

Coursework

Language of instruction: English

Location: Trondheim

Subject area(s)
  • Medicine
  • Statistics
Contact information

Department with academic responsibility
Department of Clinical and Molecular Medicine

Timetable

List view
Calendar view

Examination

Examination arrangement: School exam

Term Status code Evaluation Weighting Examination aids Date Time Examination system Room *
Autumn ORD School exam 100/100 A 2022-12-15 15:00 INSPERA
Room Building Number of candidates
SL425 Sluppenvegen 14 1
SL111 orange sone Sluppenvegen 14 7
Spring ORD School exam 100/100 A 2023-06-07 15:00 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"

More on examinations at NTNU