Summary
This two day course will provide you with the tools to critically process and analyse medical scientific literature through a good understanding of basic statistical concepts and theories.
You will learn about the construction of a scientific article and how to distinguish between “good” and “bad” science.
After this course, you will be able to understand, evaluate and explain the evidence of a publication to colleagues or stakeholders.
Other course participants say
"The course helped me read articles independentlyand discuss them with the specialists. We covered a review of statistical methods, the structure of an article, p-values, etc. It was extremely useful."
Anette Fog Jørgensen, Therapy Area Manager Vacciner & HIV, MSD Denmark ApS
"The course is relevant if you work with evaluating the evidence of scientific articles and studies. The speakers were skilled at communicating the difficult content and the teaching materials were also good"
Nina Uldal, Manager, Amgros I/S
“I can use what I learned a lot in my daily work.”
Lotte Jørgensen, Key Account Manager, Chiesi Pharma AB
"It's an inspiring and informative course. I didn't have much experience in reading and understanding studies in detail, but I have learnt a lot that I can use in my daily work. I definitely recommend this course."
Christina Lund, Key Account Manager, Novo Nordisk A/S
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Do you need help choosing the right course?
We are ready to help you at +45 39 27 60 60 or contact@atriumcph.com
Keywords
- Medical scientific literature
- Basic statistical concepts
- “Good” and “bad” science
- Evidence
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Course leader & lecturers
- Klaus Kaae AndersenCourse leaderDirector & Senior Statistician
Omicron ApS - Simon ReuterLecturerData Lead Project Director, MD, PhD.
Novo Nordisk A/S
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Is this course for you?
This course is relevant if you work with clinical research and development or use scientific research in your daily work, e.g as a product manager, nurse, doctor or pharmacist. The course is an elective course in the Pharma Consultant Programme, and beneficial for all who want to learn more about how to analyse scientific literature.
What you will learn
- Knowledge on how you construct a scientific article
- How you distinguish between “good” and “bad” scientific articles
- How to understand statistical analysis and results
- How to evaluate a publication's evidence
- How you transfer results from scientific literature to clinical life
What your company will get
- An employee who can take on interdisciplinary discussions of scientific literature
- An employee who can critically interpret the results of statistical analyses
- An employee who can apply terminology from scientific methodology to their daily work and in collaborations with colleagues and stakeholders
Course calendar
Day 1
- Why critical reviews of clinical literature?
- Evidence hierarchy
- Important measures when reading and reviewing Evidence
- Study designs:
- Observational vs. experimential studies
- Prospective vs. retrospective research methods
- Review of RWE (real world evidence) studies:
- What is RWE?
- What is bias and confounding
- How to complete a good RWE study
- RWE studies and the evidence hierarchy
- Practical exercise
Day 2
- Review of meta analyses:
- What is the conclusion of the analysis?
- Selection bias?
- Publications bias?
- Are the studies homogenous?
- Statistical analysis and results:
- Has the correct statistical method been applied?
- Does the study results show clinical significance?
- How are the effect measures being interpreted?
- The ‘anatomy’ of an article and evaluation of evidence:
- How a scientific article is structured
- How to evaluate evidence?
- Practical exercise
Registration
Registration deadline12 Nov 2024
Lersø Parkallé 101
2100 København Ø
Day 1
- Why critical reviews of clinical literature?
- Evidence hierarchy
- Important measures when reading and reviewing Evidence
- Study designs:
- Observational vs. experimential studies
- Prospective vs. retrospective research methods
- Review of RWE (real world evidence) studies:
- What is RWE?
- What is bias and confounding
- How to complete a good RWE study
- RWE studies and the evidence hierarchy
- Practical exercise
Day 2
- Review of meta analyses:
- What is the conclusion of the analysis?
- Selection bias?
- Publications bias?
- Are the studies homogenous?
- Statistical analysis and results:
- Has the correct statistical method been applied?
- Does the study results show clinical significance?
- How are the effect measures being interpreted?
- The ‘anatomy’ of an article and evaluation of evidence:
- How a scientific article is structured
- How to evaluate evidence?
- Practical exercise
Registration
Registration deadline5 Jun 2025
Lersø Parkallé 101
2100 København Ø
Day 1
- Why critical reviews of clinical literature?
- Evidence hierarchy
- Important measures when reading and reviewing Evidence
- Study designs:
- Observational vs. experimential studies
- Prospective vs. retrospective research methods
- Review of RWE (real world evidence) studies:
- What is RWE?
- What is bias and confounding
- How to complete a good RWE study
- RWE studies and the evidence hierarchy
- Practical exercise
Day 2
- Review of meta analyses:
- What is the conclusion of the analysis?
- Selection bias?
- Publications bias?
- Are the studies homogenous?
- Statistical analysis and results:
- Has the correct statistical method been applied?
- Does the study results show clinical significance?
- How are the effect measures being interpreted?
- The ‘anatomy’ of an article and evaluation of evidence:
- How a scientific article is structured
- How to evaluate evidence?
- Practical exercise
Registration
Registration deadline11 Nov 2025
Lersø Parkallé 101
2100 København Ø
Course information
Literature
Prior to the course you will get access to 2 publications via your personal Atrium profile.
Please read the publications before starting the course.
Prerequisites
There are no prerequisites for this course but we recommend that you have a Bachelor’s degree or similar as a minimum.
Examination
There is no exam for this course.
Course leader
Omicron ApS
Lecturer
Novo Nordisk A/S