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Elective courses

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The Research Studies Board offers three recurring elective courses: Writing, Reviewing and Publishing Scientific Papers, Systematic review and meta-analysis: Introduction to Cochrane methodology, and Laboratory animal science for researchers.

Course dates

Spring 2024
In Swedish: 9-13/2 + 23/2 
In English: 28-30/5 + 10/6 

Course Leaders

Jan Lexell jan [dot] lexell [at] med [dot] lu [dot] se (jan[dot]lexell[at]med[dot]lu[dot]se),
Christina Brogårdh christina [dot] brogardh [at] med [dot] lu [dot] se (christina[dot]brogardh[at]med[dot]lu[dot]se)

Target group

PhD students at the Faculty of Medicine, with priority given to those who have passed their halfway review.


The aim of the course is for the doctoral student to deepen their knowledge and skills around the publication process and how to write and review a scientific manuscript.


The teaching takes place mainly through interactive educational activities. The course includes lectures, reviewing of scientific articles, group work, discussions, practical applications and independent study. The course is given during five days and starts with three course days, then one day of independent work, and ends 2 weeks later with one course day.

Course dates 

Autumn 2024:

Week 47, 18-22 November. Mornings are in class and the afternoons consist of individual work.

Course organizers 

Matteo Bruschettini matteo [dot] bruschettini [at] med [dot] lu [dot] se (matteo[dot]bruschettini[at]med[dot]lu[dot]se)

Martin Ringsten martin [dot] ringsten [at] med [dot] lu [dot] se (martin[dot]ringsten[at]med[dot]lu[dot]se)


Stefan Hansson stefan [dot] hansson [at] med [dot] lu [dot] se (stefan[dot]hansson[at]med[dot]lu[dot]se)

Target group 

The one week course is aimed towards PhD students and researchers at the Faculty of Medicine.
Participation is free for PhD students from European Economic Area (EEA) and Switzerland. Other external participants might require a fee for participation, see more on Cochrane Sweden’s website for this course.


The course is aimed at PhD students and researchers who wants to increase their knowledge about how to conduct a systematic review or evidence synthesis. The course is also relevant for people who will use systematic reviews, evidence synthesis or results from randomized trials to inform decisions in healthcare (clinicians, decision makers, guideline developers, or policy makers).

The course aims to introduce and increase participants knowledge about the Cochrane methodology to systematic reviews with a focus on systematic reviews of interventions. During the week we will go through the process from the initial idea and research question that can be explored in a systematic review, tools to support the systematic review process, risk of bias, meta-analysis, the GRADE-approach to judge uncertainty, best practice reporting of results in reviews, and the use of systematic reviews in guidelines and decision making.
The course will include lecturers and facilitators from several Cochrane Centers, each within their expert area. Lectures will be mixed with discussions and working in groups with exercises in the mornings, and after lunch participants will work individually within the Cochrane Interactive Learning-modules. There will be time to ask individual questions to our lecturers and facilitators about your own potential reviews or other evidence-related questions during the week.


The course will be aimed to be conducted on campus in Lund for all days.

To pass the course you will need to attend the days in class, have an active participation in discussions and teamwork during these days, and completion of the module 1-8 and quizzes in Cochrane Interactive Learning.


The course is rewarded with 1,5 ECTS credits (equal to one week full time studies) for enrolled PhD students. All participants will receive a certificate of attendance for the course.

Resources and literature

Cochrane Interactive Learning modules, available from 

Cochrane Handbook for Systematic Reviews of Interventions, available for free from

Additional articles, books and some pre-course work will be handed out before the course starts.


You can register through the link in the right hand margin. Chose the correct date of the course. If you are an external participant (outside of Lund University), please clearly state this and your affiliation and professional title in “Other comments”, and try to fill the other information in as good as possible (if not relevant leave blank)

Course leader

Lena Uller, Docent, Respiratorisk Immunofarmakologi, Institutionen för experimentell medicinsk vetenskap, Lund


Lena Uller

Target Group

This is a compulsory course for doctoral students at Lunds University who aim to work with animals. You will register specifically for the species you aim to work with. No previous qualifications required. The course is equivalent to a FELASA B level but not yet formally certified by Felasa.


3 University credits for the full course, 2 credits when the practical part is not completed.

Time & Place 

This is a web-based education using Canvas Catalog. You work on your own time at your own computer.

Content of the course

The course is in English and contains 15 modules

  • Module 1: Ethics and Animal Use
  • Module 2: Swedish Legislation
  • Module 3: Animal Records
  • Module 4: Identification Methods
  • Module 5: Humane Endpoints
  • Self-assessments Legislation, Animal Records, ID & Humane Endpoints
  • Module 6: Biology
  • Module 7: Ethology
  • Module 8: Husbandry
  • Module 9: Animal Care and Supervision
  • Self-assessments Husbandry, Animal Care and Supervision
  • Module 10: Anaesthesia, Analgesia and Euthanasia
  • Module 11: Diseases in Laboratory Animals
  • Module 12: Animal Experimental Methodology
  • Module 13: Genetically Modified Organisms
  • Module 14: Alternative Methods
  • Module 15: Safety in Biomedical Facilities

To complete the course

Estimated time to complete the course is 40 h. The different modules will be examined continuously with self-assessments. Upon completing the theoretical part, there is a practical part which extent depends on your planned upcoming practical activities. Upon this you will receive a certificate valid for operate with animals.

Course literature

All literature is available on Canvas Catalog with additional links to Internet sites, which contain further information.
If you have questions about the course, please contact: djurutbildning [at] med [dot] lu [dot] se (djurutbildning[at]med[dot]lu[dot]se) 

Training in Laboratory Animal Science - to apply (Lund University Staff Pages)

Other elective courses are offered as needed and are published on this website as they become available. If you have suggestions for an elective course that you would like to take and that you think we should offer, please contact PhDcourses [at] med [dot] lu [dot] se (PhDcourses[at]med[dot]lu[dot]se)

Points: 7.5 hp (fulltime)

Dates: 23rd September – 25rd October 2024 (5 weeks)

General information 

The purpose of this course is to give a deeper understanding of the links between exposure to environmental pollutants and the occurrence of diseases. This is an online course organized jointly by the Department of Occupational and Environmental Medicine, Lund University, Sweden, and the Department of Public Health, Ponitificia Universidad Catolica de Chile. This course is supported by the STINT and ACCESS program for higher Education, and is open to Ph.D. and Postdocs of ACCESS Universities. 

Course content 

The course aims to provide an overview of human toxicology that links exposure to environmental pollutants with the occurrence of diseases at the populational level. The concepts of toxicology will be introduced by describing how toxic substances (chemicals, metals, toxins, particles) in our daily life can affect the health of people. Routes of exposure will be linked to certain diseases (e.g., inhaling chemicals, and airway diseases). Toxicokinetics, dose response, and routes of exposure will be discussed as well as genetic and epigenetic mechanisms. The students will learn about environmental epidemiology and environmental exposures to chemicals, metals, pesticides, and endocrine disruptors. Concepts such as designs, collection of health data, fieldwork, epidemiological indicators, causality, and epidemiological research questions will be reviewed.


 Upon completion of the course, students shall be able to:

  • define basic toxicological concepts applied to environmental chemicals, and explain their importance in the determination of toxicity
  • explain mechanisms involved in the toxicity of different substances (chemicals, metals, toxins, particles) and their link to diseases in humans
  • explain the importance of other processes involved in the sensitivity to toxic substances and the occurrence of diseases, such as genetic, epigenetic, and other factors observed at the population level
  • explain the advantages and limitations of health-related environmental monitoring and biomonitoring
  • explain the advantages and limitations of epidemiological studies to evaluate human exposure to toxic substances and the risk of disease
  • understand toxicological and epidemiological methods to address environmental problems that may affect health


The course consists of lectures, interactive learning exercises and self-studies. The language of instruction and assessment is English. Lectures will be scheduled for Mondays, Tuesdays, Wednesdays and Thursdays (afternoons in Sweden, mornings in Chile).

Examination and Assessment 

The assessment is based on:

  • Individual presentation of a “real case scenario” (4.5 pt). A short presentation by the student about a topic of their own choice related to the course content 
  • 3 short knowledge assessments (1.5 pt)
  • Active participation in group exercises and group presentation (1.5 pt). Each group will evaluate a different case of environmental pollution (movie + review). 

The grades awarded are Pass or Fail. 


Main Teacher Lund: 

Annette Krais, Department of Occupational and Environmental Medicine, Lund University

annette [dot] krais [at] med [dot] lu [dot] se (annette[dot]krais[at]med[dot]lu[dot]se)

Main Teacher Chile: 

Sandra Cortés, Department of Public Health, Ponitificia Universidad Catolica de Chile scortesn [at] uc [dot] cl (scortesn[at]uc[dot]cl)


Lars Rylander, professor, Department of Occupational and Environmental Medicine, Lund University (lars [dot] rylander [at] med [dot] lu [dot] se)

Language: The course is given in English

Target group and requirements:

To be admitted to the course, students must be admitted to studies at Lund University. The course is primarily intended for PhD and PostDocs from Medical Faculty that have an interest in toxicology, and that have performed to at least 120 first or second cycle credits in biology or chemistry or similar. English B level is required. No other specific entry requirements apply.

Number of participants: 30

Points: 1.5 hp (fulltime)

Dates: 13th May – 17th May 2024

General information

The course provides a background to the issue of missing data and to the consequences of simple ad hoc methods to address the issue. The advantages and shortcomings of different methods will be discussed. The method in focus on the course is multiplied imputation (MI), which participants will have the opportunity to test in the laboratory components.

Objective: The aim of the course is to make participants aware of the consequences of incorrect handling of missing data in medical research in general and to provide them with tools for correct handling of missing data in their own research.

The course content covers the following themes:

  • Introduction to missing data
    • Identifying missing data
    • Potential consequences of missing data
    • Mechanisms for the generation of missing data
    • Brief overview of methods for handling missing data
  • Multiple imputation
    • Brief theoretical background to MI
    • The chained equations method
    • Constructing an imputation model
    • Analysing imputed data
    • Diagnosis of the MI model (model validation)
  • Reporting MI results and the limitations of the method
    • Guidelines for reporting analyses of MI-generated data
    • Limitations of the MI method


Monday, Tuesday (morning), Wednesday and Friday (morning) – in-class activities, Tuesday (afternoon) and Thursday – own work, Friday (afternoon) - examination.


Aleksandra Turkiewicz, docent, CStat, Enheter för klinisk epidemiologi, Kliniska Vetenskaper, Lund

Pär-Ola Bendahl, docent, fil. dr., Institutionen för kliniska vetenskaper Lund, Lunds universitet (par-ola [dot] bendahl [at] med [dot] lu [dot] se (par-ola[dot]bendahl[at]med[dot]lu[dot]se))


Jonas Björk, professor, fil. dr., Institutionen för laboratoriemedicin, Lunds universitet (jonas [dot] bjork [at] med [dot] lu [dot] se (jonas[dot]bjork[at]med[dot]lu[dot]se))

Language: The course is given in English

Target group and requirements: To be admitted to the course, applicants must have prior knowledge equivalent to Applied Statistics I and II. In particular, they are to be familiar with the theory of linear and logistic regression models and be able to adapt these models and interpret corresponding output from their statistics software. The choice of software is optional, but the participants are required to be familiar with the program they choose and that it has the method multiple imputation via chained equations implemented (e.g. R, Stata or SPSS). The participants are responsible for ensuring that they have a suitable and working statistics program installed on their computer before the start of the course.

Number of participants: 20

Location: Lund

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  • Basic Data Handling and Visualization with R
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  • Diabetes research
  • Drug development and clinical trials 
  • Epidemiology I - Introduction to Epidemiology
  • Flow cytometry, introductory course
  • Flow cytometry, continuation course
  • Glycobiology
  • Health and Environment with special focus on climate change and sustainability
  • Introduction to programming
  • MAX IV/ESS-based imaging for medical and biomedical research, experimental setup
  • Medical Bioinformatics, Introduction
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  • Perspectives on gender and intersectionality in medical and health research
  • Preclinical imaging
  • Applied Epidemiology and Statistics III – Causal inference with non-randomised data
  • Applied Qualitative Methodology II 
  • Applied Statistics III – Statistical methods for repeated measurements
  • Applied Statistics III – Time Series Analysis in Clinical and Environmental Epidemiology
  • Applied Statistics III – Survival Analysis
  • X-ray micro- and nanoimaging for medical and biomedical research, experimental part


phdcourses [at] med [dot] lu [dot] se