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.

 

 

 

 

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:

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

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Seminars and Events

 

 

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. 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Staff

Publications
Head of Section

Head of Section
Esben Budtz-Jørgensen
Professor

Phone +45 35 32 79 27
Fax +45 35 32 76 29
ebj@sund.ku.dk

Staff

Name Title Phone E-mail
Search in Name Search in Title Search in Phone
Andersen, Elisabeth Anne Wreford Part-time Lecturer   E-mail
Andersen, Frederik Mølkjær IT Officer   E-mail
Andersen, Per Kragh Professor +4535327908 E-mail
Blanche, Paul Frédéric Associate Professor +4535330301 E-mail
Breinegaard, Nina Part-time Lecturer   E-mail
Breum, Marie Skov PhD Fellow   E-mail
Buchardt, Ann-Sophie Research Assistant +4535331966 E-mail
Budtz-Jørgensen, Esben Professor +4535327927 E-mail
Carstensen, Bendix Part-time Lecturer +4544438738 E-mail
Christensen, Karl Bang Professor +4535327491 E-mail
Cremers, Jolien Postdoc +4535322843 E-mail
Ekstrøm, Claus Thorn Professor +4535327597 E-mail
Eriksson, Frank Associate Professor +4535326048 E-mail
Forman, Julie Lyng Associate Professor +4535333108 E-mail
Furberg, Julie Kjærulff Visiting PhD Student   E-mail
Gabriel, Erin Evelyn Associate Professor +4535325609 E-mail
Gamborg, Michael Orland Part-time Lecturer +4533383868 E-mail
Gerds, Thomas Alexander Professor +4535327914 E-mail
Hilden, Jørgen No job title +4535326423 E-mail
Jacobsen, Judith Lone Part-time Lecturer +4540682808 E-mail
Jensen, Aksel Karl Georg Assistant Professor +4535327924 E-mail
Jensen, Andreas Kryger Associate Professor +4535333528 E-mail
Keiding, Niels No job title VIP +4535327903 E-mail
Kreiner, Svend Guest Researcher +4535336570 E-mail
Laupstad, Susanne Kragskov Administrative Officer +4535327902 E-mail
Madsen, Jeppe Ekstrand Halkjær PhD Student +4535321523 E-mail
Martinussen, Torben Professor +4535327918 E-mail
Meddis, Alessandra Postdoc +4552693528 E-mail
Munch, Anders PhD Fellow +4535320805 E-mail
Møller, Amalie Lykkemark Visiting PhD Student +4520717014 E-mail
Nielsen, Emilie Prang Industrial PhD   E-mail
Nordland, Andreas External, Ph.d Student +4535331842 E-mail
Ozenne, Brice Maxime Hugues Assistant Professor +4535331516 E-mail
Pedersen, Helle Holstad IT Officer +4535332651 E-mail
Petersen, Anne Helby Postdoc +4535336437 E-mail
Petersen, Janne Associate Professor   E-mail
Petersen, Jørgen Holm Associate Professor +4535327905 E-mail
Pham, Vi Thanh Research Assistant +4535331199 E-mail
Pramming, Marie Krøger Administrative Officer +4535336044 E-mail
Rytgaard, Helene Charlotte Wiese Assistant Professor +4535334485 E-mail
Sachs, Michael Charles Postdoc +4535327667 E-mail
Scheike, Thomas Professor +4535327928 E-mail
Sejling, Christoffer Research Assistant +4535324528 E-mail
Skovgaard, Lene Theil Associate Professor +4535327916 E-mail
Su, Zehao PhD Fellow +4535332384 E-mail
Sørensen, Anne Lyngholm PhD Fellow   E-mail
Sørensen, Kathrine Kold Visiting PhD Student   E-mail
Thomsen, Birthe Lykke Riegels Part-time Lecturer   E-mail
Torp-Pedersen, Christian Tobias Clinical Professor +4535331953 E-mail
Vistisen, Dorte Associate Professor +4535334204 E-mail
Wandall, Eva Nina Sparre IT Officer +4535327383 E-mail
Ziersen, Simon Christoffer PhD Fellow +4535331677 E-mail