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 Nordic 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...
Statistics for experimental medical researchers
Provider: Faculty of Health and Medical Sciences
Activity no.: 3325-17-00-00
Enrollment deadline: 03/04/2017
Date and time
04.05.2017, at: 08:00 - 08.06.2017, at: 16:00
Regular seats
35
Course fee
2,400.00 kr.
Lecturers
Julie Forman
ECTS credits
3.50
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). Special rules apply for research year students enrolled at Faculty of Health and Medical Sciences at UCPH. All other participants must pay the course fee.
Aim and contents
This five-day intensive course is aimed at biomedical research students at the Ph.D. level working in a laboratory or similar, performing experiment on e.g. mice, cells, or tissues. The participant will get a working knowledge of statistical concepts, models, and methods of analysis, as well as hands on experience in analysing data from medical laboratory experiments with R statistical software.
Learning objectives
After participating in this course, the participant will be able to:
? Distinguish the statistical models most frequently encountered in experimental research.
? Apply these models to his or her own data using the statistical software R.
? Interpret the output from statistical software packages in general, and not just R.
? Present the results from these statistical analyses in numbers, words, and figures.
? Judge the validity of these analyses by knowing which model assumptions are important and how to check them.
? Seek expert statistical advice when needed and engage in a qualified statistical discussion.
Content
Data types, numerical and graphical descriptive statistics, basics of statistical inference: significance tests and confidence intervals. Frequency distributions. Risk differences, risk ratios, and odds ratios. The chi-square test. The two-sample and the paired t-test. Analysis of variance. Linear regression and correlation. Random effects models for repeated measurements.
Depending on student interests some of the following optional topics might be covered:
Multiple testing procedures. Power calculations. Experimental design. Dose-response modelling. Analysis of baseline follow-up studies.
Statistical software
We will be working with the free statistical software R and the likewise free interface R Studio. Participants must bring their own laptops with R and R Studio installed for the exercises.
Participants
Ph.D.-students. In case of vacant seats also other medical researchers. Max. 35 participants.
Language
English.
Form
Forum lectures and computer exercises 3 hours in the morning 3 hours in the afternoon.
Course director
Associate professor Julie Forman
Teachers
Associate professors Julie Forman and others.
Course secretary
Susanne Kragskov Laupstad, Section of Biostatistics, e-mail: skl@sund.ku.dk
Dates
4, 11, 18 May, 1 and 8 June 2017, all days 8-15.
Course location
CSS
Registration: Please register before 3 April 2017.
Admission to Ph.D. students from Danish universities will be allocated on a first-come, first-served basis and according to the rules in force.
Applications from other participants will be considered after 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