Section of Biostatistics
The section conducts biostatistical research and development, participates in medical research projects and offers biostatistical advice to PhD students and staff in all disciplines of the Faculty of Health Sciences.
The Section offers advice on statistical issues to faculty, PhD-students, and students at the Faculty of Health Sciences. The advisory service includes an over-the-phone consulting service (Mondays and Thursdays between 13.00 and 14.00), you may also book a 20 minute meeting with a consultant (Tuesdays and Fridays between 13.00 and 15.00) or you can visit the statistical café (Wednesdays between 14.00 and 15.00). For more information follow the links below.
Due to the COVID-19, our statistical café is closed. Until further notice the 20-minutes meeting consultancy will be done using Zoom. This practice is in force from April 1st and onwards. Please use the following Zoom-link: https://ucph-ku.zoom.us/j/63851583177 You click in when your allotted time-slot starts. Prepare how to present your problem using for example the shared desktop facility, 1 slide will typically do.
We will maintain the telephone consulting service.
- Telephone consulting service. Mondays and Thursdays between 13.00 and 14.00.
- Book a 20 minute meeting. Tuesdays and Fridays between 13.00 and 15.00.
- Statistical cafe.Wednesdays between 14.00 and 15.00.
- For potentially larger projects, please contact the Head of Section.
Before the consultancy
We recommend that Master and PhD students prepare the statistical
question(s) together with their main supervisor(s).
Who is eligible for statistical consulting at the Section of Biostatistics?
- PhD students at the Faculty of Health Sciences, incl. clinical departments
- Full professors, Associate professors, Assistant professors, research assistants and clinical assistants at the Faculty of Health Sciences
- Students at the Faculty of Health Sciences
Which types of consulting services are offered?
- Telephone consulting concerning small and very specific statistical issues
- Assessment of whether planned research is reasonable and practicable from a statistical point of view. Discussions of future needs for statistical analysis of specific projects
- Instruction allowing the client to carry out simple analyses, the results of which are then interpreted in collaboration with the statistician
- Statistical analysis for the client can only very rarely be performed. Such analysis, carried out at the Section, may be relevant in cases where the extent of the analysis is small or in cases where the nature of the research falls within the scientific interests of the Section. The Section's involvement in specific projects is decided on a case by case basis
- Interpretation of referee reports and assessment of the need for further statistical analysis. In cases where the clients themselves are referees for a journal, the Section may be able to assist with statistical guidance.
- Clients are given consulting service in the same order as the requests are made which means that some waiting time may be anticipated.
What can we assist with
Any type of statistical problem in relation to planning a study, choosing and applying the appropriate statistical tools, and understanding 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)
Note that we are only able to offer very limited help with dedicated data management such as data cleaning and data base programming
Who is eligible for help
Researchers and research groups at Copenhagen University Hospital and Glostrup Hospital.
PhD-students and employees at the Faculty of Health and Medicinal Sciences are requested to use our regular advisory service :
https://publichealth.ku.dk/sections/biostatistics/advisoryservice/
How to get help
Write an email to RH-statsupport@sund.ku.dk
containing a brief description of your problem. Emails are handled on a weekly basis each Friday, so you can expect to receive a response to your request within a week.
How much help can you get
This is judged from a case to case basis entirely at the discretion of 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. See also the 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.
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.
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 PhD statistic courses open for registration at the Faculty of Health and Medical Sciences
Link to class room assignments (Syllabus skema)
The section is responsible for teaching biostatistics within the following 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
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
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.
Seminars and Events
-
16 Sept. 2020
Due to COVID 19 no events are planned
Head of Section
Esben Budtz-Jørgensen
Associate Professor
Phone +45 35 32 79 27
Fax +45 35 32 76 29
ebj@sund.ku.dk
Staff
| Name | Title | Phone | |
|---|---|---|---|
| Andersen, Elisabeth Anne Wreford | Part-time lecturer | ||
| Andersen, Per Kragh | Professor | +45 353-27908 | |
| Blanche, Paul Frédéric | Assistant professor | +45 353-30301 | |
| Breinegaard, Nina | Part-time lecturer | ||
| Breum, Marie Skov | Research assistant | ||
| Buchardt, Ann-Sophie | Research assistant | +45 353-31966 | |
| Budtz-Jørgensen, Esben | Head of section | +45 353-27927 | |
| Carstensen, Bendix | Part-time lecturer | +45 30 91 29 61 | |
| Christensen, Karl Bang | Associate professor | +45 353-27491 | |
| Ekstrøm, Claus Thorn | Professor | +45 353-27597 | |
| Eriksson, Frank | Associate professor | +45 353-26048 | |
| Forman, Julie Lyng | Associate professor | +45 353-33108 | |
| Gamborg, Michael Orland | Part-time lecturer | +45 33 38 38 68 | |
| Gerds, Thomas Alexander | Professor | +45 353-27914 | |
| Grand, Mia Klinten | Postdoc | +45 353-28093 | |
| Grell, Kathrine | Visiting Postdoc | +45 353-26428 | |
| Hilden, Jørgen | Associate professor, retired | +45 353-26423 | |
| Jacobsen, Judith Lone | Part-time lecturer | +45 40 68 28 08 | |
| Jensen, Andreas Kryger | Associate professor | +45 353-33528 | |
| Keiding, Niels | Professor emeritus | +45 353-27903 | |
| Kreiner, Svend | Professor emeritus | +45 353-31083 | |
| Lange, Theis | Associate professor | +45 353-27912 | |
| Laupstad, Susanne Kragskov | Senior clerk | +45 353-27902 | |
| Madsen, Jeppe Ekstrand Halkjær | Visiting PhD Fellow | ||
| Martinussen, Torben | Professor | +45 353-27918 | |
| Nordland, Andreas | Industrial PhD Student | +45 353-31842 | |
| Ozenne, Brice Maxime Hugues | Postdoc | +45 353-31516 | |
| Petersen, Anne Helby | PhD fellow | +45 353-36437 | |
| Petersen, Janne | Associate professor | ||
| Petersen, Jørgen Holm | Associate professor | +45 353-27905 | |
| Rosthøj, Susanne | Associate professor | +45 353-27921 | |
| Rytgaard, Helene Charlotte Wiese | Assistant professor | +45 353-34485 | |
| Scheike, Thomas | Professor | +45 353-27928 | |
| Skovgaard, Lene Theil | Associate professor | +45 353-27916 | |
| Starkopf, Liis | Postdoc | +45 353-26419 | |
| Thomsen, Birthe Lykke Riegels | Part-time lecturer | ||
| Thulstrup, Helle Nørregaard | Adminstrative officer, language secretary | +45 353-37599 | |
| Ziersen, Simon Christoffer | Research assistant | +45 353-31677 |