Login for PhD students at UCPH
Login for others
Home
Course Catalogue
Communication & Teaching
Online Courses
Responsible Conduct of Research
Specialist Courses
Statistics
Summer Schools
PhD Supervision for Academic staff
Course fee, cancellation policy and invoice details
How to apply for a course
PhD students from NorDoc universities
Newly enrolled PhD students at SUND
PhD students at UCPH
Other applicants
How to log on to the course system
How to log in as a student
How to log in as a course provider
Contact information
Processing...
Introduction to validation of patient reported outcome measures
Provider: Faculty of Health and Medical Sciences
Activity no.: 3344-25-00-00
There are 15 available seats
Enrollment deadline: 07/04/2025
Date and time
05.05.2025, at: 10:00 - 06.05.2025, at: 17:00
Regular seats
22
Course fee
4,200.00 kr.
Lecturers
Karl Bang Christensen
ECTS credits
2.50
Contact person
Susanne Kragskov Laupstad E-mail address: skl@sund.ku.dk
Enrolment Handling/Course Organiser
PhD administration E-mail address: phdkursus@sund.ku.dk
Aim and content
This is a generic course. This means that the course is reserved for PhD students at the Graduate School of Health and Medical Sciences at UCPH.
Anyone can apply for the course, but if you are not a PhD student at the Graduate School, you will be placed on the waiting list until enrollment deadline. After the enrolment deadline, available seats will be allocated to the waiting list.
The course is free of charge for PhD students at Danish universities (except Copenhagen Business School), and for PhD students at NorDoc member faculties. All other participants must pay the course fee
Learning objectives
A student who has met the objectives of the course will be able to:
1. Know the basic principles for scale validation.
2. Compute simple indicators of patient reported outcome measures (PROMs) validity.
3. Do a simple confirmatory factor analysis to evaluate the quality of PROMS.
Content
The course introduces simple methods validation of index scales that summarize information from several items. The course covers classical psychometrics, confirmatory factor analysis, and methods for detection of differential item functioning. The computer exercises use SAS or R, but most of the methods discussed are relatively simple and can be done using SPSS or Stata. The course consists of ten hours of classroom teaching supplemented by online elements.
Illustrative examples are drawn from existing PROMS used in clinical research.
Participants
Ph.D.-students and researchers within medicine, public health, epidemiology, sociology, and psychology. A very basic knowledge of statistics will be assumed.
Relevance to graduate programmes
The course is relevant to PhD students from the following graduate programmes at the Graduate School of Health and Medical Sciences, UCPH:
All graduate programmes
All graduate programmes
Vælg et element.
Language
Danish or English
Form
A mixture of lectures and computer exercise. A mandatory exercise is handed out on the last day. Participants who bring relevant data of their own can do a compulsory exercise based on these, if the course director approves this. The mandatory exercise needs to be handed in by e-mail to the course secretary later than June 21 (two weeks after the last day on the course). Participants should bring their own laptop with SAS or R installed.
Course director
Associate professor Karl Bang Christensen, Section of Biostatistics, kach@sund.ku.dk
Teachers
Associate professor Karl Bang Christensen, and guest teachers.
Dates
May 5-6, 2025, both days 10-17.
Course location
CSS
Registration
Please register before 7 April 2025
Seats to PhD students from other Danish universities will be allocated on a first-come, first-served basis and according to the applicable rules. Applications from other participants will be considered after the last day of enrolment.
Note:
All applicants are asked to submit invoice details in case of no-show, late cancellation or obligation to pay the course fee (typically non-PhD students). If you are a PhD student, your participation in the course must be in agreement with your principal supervisor.
Search
Click the search button to search Courses.
Choose course area
Course Catalogue
Choose sub area
Communication & Teaching
Online Courses
Responsible Conduct of Research
Specialist Courses
Statistics
Summer Schools
PhD Supervision for Academic staff
Course calendar
See which courses you can attend and when
Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
Sep
Oct
Nov
Dec
Processing...
RadEditor - HTML WYSIWYG Editor. MS Word-like content editing experience thanks to a rich set of formatting tools, dropdowns, dialogs, system modules and built-in spell-check.
RadEditor's components - toolbar, content area, modes and modules
Toolbar's wrapper
Paragraph Style
Font Name
Real font size
Apply CSS Class
Custom Links
Zoom
Content area wrapper
RadEditor hidden textarea
RadEditor's bottom area: Design, Html and Preview modes, Statistics module and resize handle.
It contains RadEditor's Modes/views (HTML, Design and Preview), Statistics and Resizer
Editor Mode buttons
Statistics module
Editor resizer
Design
HTML
Preview
RadEditor - please enable JavaScript to use the rich text editor.
RadEditor's Modules - special tools used to provide extra information such as Tag Inspector, Real Time HTML Viewer, Tag Properties and other.
N
ew courses
Courses are published regularly. High demand courses are announced in spring and autumn.
Learn which courses are announced on fixed dates