Section of Biostatistics
Biostatisticians develop analytical tools for medical research, patient diagnosis and treatment.
We are statistical advisors for researchers, PhD students, and students at the Faculty of Health Sciences, and are responsible for teaching statistics from bachelor to PhD level.
All advisory services are cancelled from 19 December 2022 until 1 January 2023 both days included.
Free of charge statistical advice to faculty, PhD-students, and students at the Faculty of Health Sciences.
What can we assist with
- Is planned research reasonable and practicable from a statistical point of view. Discussion of future needs for statistical analysis in the project.
- Instruction on simple analyses and help with the interpretation of results.
- Statistical analysis for the client are not usually possible. In such cases, you can discuss with the statistician what your options are.
- Interpretation of referee reports and guidance on the need for further statistical analysis. If you are the referee for a journal, we may assist with statistical guidance.
We receive many requests and some waiting time may be anticipated.
We offer three types of services:
- Over-the-phone consultancy. Mondays and Thursdays between 13 and 14.
- Book a 20 minute meeting. Tuesdays and Fridays between 13 and 14:20.
- Statistical cafe. Wednesdays between 14 and 15.
For larger projects, please contact the Head of Section.
Before contacting us
Master and PhD students prepare the statistical question(s) with their supervisor(s).
Free of charge statistical advice to researchers at Rigshospitalet (including RH Glostrup).
PhD-students can get help using Statistical Advisory Services (SUND)
What can we assist with
Statistical problems related to planning a study, applying the appropriate statistical tools, and interpreting results. This includes
- Study design (type of design and sample size)
- Statistical analysis (choice of analysis, execution of analysis via dedicated statistical software, interpretation and reporting of results)
Data management such as data cleaning and data base programming are not our main expertise.
How to get help
Write an email to RH-statsupport@sund.ku.dk with a brief description of the problem.
You can expect to receive a response within a week.
How much help can you get
This is judged from a case to case basis by the statistical consultant handling your request. For larger commitments additional funding may be necessary.
If the consultant provides substantial input for a paper in terms of analyses, interpretation of results, and drafting of the paper, then co-authorship is only natural and expected (Vancouver Protocol).
Examples of specific questions
Question: I have conducted a two sided t-test, but a referee has asked for a non-parametric test in addition. What is this and how do I compute the test?
Question: We are planning an RCT and need to discuss power and statistical analysis plan.
Question: I cannot insert text on a plot created in SAS.
Question: I have conducted a logistic regression, but would like to discuss if I have interpreted the estimates correctly.
Question: We are planning to apply for funding for a larger study, but are in doubt about the best ways to describe and subsequently tackle the statistical challenges.
PhD statistic courses open for registration at the Faculty of Health and Medical Sciences
Below is a list of Ph.D.-courses provided by the section of biostatistics each year.
To sign up you must use the course website of the Ph.D.-school. Click here to sign up.
Beware that a course typically will only be present on the PhD-school page, a few months before the course starts.
Course secretary for all courses: Susanne Kragskov Laupstad, e-mail: skl@sund.ku.dk
NB: ECTS may vary a little from year to year.
Spring
Basic Statistics for Health Researchers (Danish course)
ECTS: 9,0
Epidemiological methods in medical research
ECTS: 7
Advanced topics in health research B
ECTS: 2,8
Statistical methods in bioinformatics
ECTS: 3,5
Statistical analysis of survival data
ECTS: 4,9
Statistical data analysis using the computer program SAS
ECTS: 2,1
Statistical data analysis using the computer program SPSS
ECTS: 2,1
Programming and statistical modelling in R
ECTS: 1,6
Bayesian methods in biomedical research
ECTS: 2,4
Psychometric validation of patient reported outcome measures
ECTS: 2,5
Introduction to validation of patient reported outcome measures Causal inference I
ECTS: 2,5
Use of the statistical software R
ECTS: 2,1
Autumn
Basic Statistics for Health Researchers (Danish course)
ECTS: 9,0
Basic statistics for health researchers (English course)
ECTS: 9,0
Advanced statistical analysis of epidemiological studies
ECTS: 4,2
Statistics for experimental medical researchers
ECTS: 4,0
Use of the statistical software R
ECTS: 2,1
Programming and statistical modelling in R
ECTS: 1,6
Statistical analysis of survival data
ECTS: 4,9
Statistical analysis of repeated measurements and clustered data
ECTS: 4,2
Section of Biostatistics
University of Copenhagen
Øster Farimagsgade 5
DK-1014 Copenhagen
Telephone +45 35 32 79 01
Email: biostat@sund.ku.dk
From Copenhagen Airport to the Section of Biostatistics
- Take the Metro (not the S-train) from the airport to Nørreport station (9 stations, about 12 minutes)
- From Nørreport, walk to the university campus (400 m, see map)
Inside the Campus
The Section of Biostatistics is located on the 2nd floor in buildings CSS-5, CSS-10, and CSS-15. You can use the interactive map below to find a specific room. For example, our meeting room is CSS 5.2.46 (seminars, statistical consulting cafe) and the secretary office is CSS 10.2.23.
From Best Western Richmond Hotel to the Section
From Ibsens Hotel or Kong Arthur to the Section
The blue line gives the directions from Ibsens hotel, note that Kong Arthur is close by.
The section conducts biostatistical research and development, participates in substantive medical research projects and offers biostatistical advice to PhD students and staff in all disciplines of the Faculty of Health Sciences, to those engaged in experimental and clinical medicine, public health and odontology.
Link to recent PhD dissertations from the Section of Biostatistics.
Methodological research
The biostatistical research focuses on
- Event history analysis (survival analysis)
- Multivariate models for manifest and latent structures
- Latent variable models
- Graphical models
- Structural equation models
- Statistical genetics
- Statistical methods for observational data
- Epidemiology
- Demography
- Causal inference
- Diagnostic and predictive models
Applied statistical research
The applied statistical collaborations of the Department of Biostatistics cover all areas of medical research and ranges from short consultations to collaborative projects lasting several years.
Many theoretical statistical research projects originate from problems encountered in specific applications, some are more generally motivated. The results of this research are published in Research Reports, which usually appear in scientific journals later.
The section is responsible for teaching biostatistics within all of the programmes of the Faculty: pregraduate teaching for students of medicine, dentistry, public health and human biology; teaching within the programmes of Master of Public Health and Master of International Health; and courses in the PhD programme of the Faculty, both for medical researchers and (courses as well as advising) for PhD students in biostatistics.
Link to class room assignments (Syllabus skema)
Pregraduate courses:
Fall 2020:
SPUM18001U Introduction to epidemiology and biostatistics
MPH - Master of Public Health
SFOA09001U Statistics
MSc Programme in Public Health
SMEA15126U Course in Regression Analysis
MSc Programme in Medicine – elective course
SFOA09038U Introduction to statistics
Bachelor Programme in Public Health
SMEA15031U Course in Statistics, Epidemiology and Medical Sociology
MSc Programme in Medicine
SITB18001U Statistics for Health Sciences
Bachelor Programme Health and Informatics
SODB16035U Statistics, Dental Surgery
Bachelor Programme in Dentistry
SSUA15011U Biostatistics 1
MSc Programme in Health Science
SSUA15031U Biostatistics 2
MSc Programme in Health Science
NMAK16019U Survival Analysis
MSc Programme in Statistics
MSc Programme in Mathematics-Economics
Spring 2021:
SHUA13024U Statistics and Data Analysis for Human Biologists
MSc Programme in Human Biology
SPUM18005U Biostatistics and epidemiology
MPH - Master of Public Health
SMEA15126U Course in Regression Analysis
MSc Programme in Medicine – elective course
SSUA15048U Statistical data analysis using the computer program SPSS
MSc Programme in Health Science - elective course
SSUA15049U Statistical data analysis using the computer program SAS
MSc Programme in Health Science - elective course
SVEB13003U Basic Statistics and Epidemiology
Bachelor Programme in Veterinary Medicine
SMEA15031U Course in Statistics, Epidemiology and Medical Sociology
MSc Programme in Medicine
SFOK19005U Precision Medicine in Public Health
MSc in Public Health - elective course
MSc in Global Health - elective course
MSc in Health Informatics - elective course
MSc in Health Science - elective course
MSc in Human Biology - elective course
SFOB20007U Demography
Bachelor Programme in Public Health
SFOA09038U Introduction to Statistics
Bachelor Programme in Public Health
NMAK20002U Semiparametric Inference
MSc Programme in Statistics
NMAK14028U Project in Statistics
MSc Programme in Mathematics-Economics
MSc Programme in Statistics
On this page, you will find an overview of project proposals and internship opportunities that the Department of Public Health offers to bachelor's, master’s, and research year students.
