Epidemiological methods in medical research 2025

Course modules

Course description: Epidemiological methods in medical research 2025

Course description: Epidemiological methods in medical research 2025 Course description: Epidemiological methods in medical research 2025

Page

Overview Overview 2

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Page

What is expected from the students What is expected from the students 3

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Ressources

Ressources Ressources

Context Module Subheader

Pre-course reading material 1

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Attachment

stat-refresher.pdf stat-refresher.pdf 2

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Attachment

R-refresher.pdf R-refresher.pdf 3

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Context Module Subheader

Programming memo 4

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Attachment

glm-risk-rate.pdf glm-risk-rate.pdf 5

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Attachment

dagitty-tutorial.pdf dagitty-tutorial.pdf 6

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Context Module Subheader

Presentation 7

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Attachment

Project-Description.docx Project-Description.docx 8

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Project-Description.pdf Project-Description.pdf 9

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Day 1: Introduction to epidemiology

Day 1: Introduction to epidemiology Day 1: Introduction to epidemiology

Context Module Subheader

Lecture 1

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Attachment

Lecture_0_-_Welcome.pdf Lecture_0_-_Welcome.pdf 2

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Attachment

Lektion 1 - Introduction to Epidemiology_absalon.pdf Lektion 1 - Introduction to Epidemiology_absalon.pdf 3

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Attachment

Lecture_2_-_Measure_of_disease_frequency.pdf Lecture_2_-_Measure_of_disease_frequency.pdf 4

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Attachment

Lecture_2_-_R_demo.pdf Lecture_2_-_R_demo.pdf 5

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Context Module Subheader

Optional reading 6

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Attachment

Beyersmann 2014 - Incidence in ICU population.pdf Beyersmann 2014 - Incidence in ICU population.pdf 7

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Day 2: Cohort Studies

Day 2: Cohort Studies Day 2: Cohort Studies

Context Module Subheader

Lecture 1

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Attachment

Lecture 3 - Cohort studies AMNA 2025.pdf Lecture 3 - Cohort studies AMNA 2025.pdf 2

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Context Module Subheader

Practicals 3

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Attachment

P1-association.pdf P1-association.pdf 4

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P1-association-solution.pdf P1-association-solution.pdf 5

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P1-association-solution.R P1-association-solution.R 6

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bissau.txt bissau.txt 7

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Day 3: Bias and confounding

Day 3: Bias and confounding Day 3: Bias and confounding

Context Module Subheader

Lecture 1

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Attachment

Lecture 4 Bias and Confounding AMNA 2025.pdf Lecture 4 Bias and Confounding AMNA 2025.pdf 2

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Lecture_5_-_DAGs_and_stratification.pdf Lecture_5_-_DAGs_and_stratification.pdf 3

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Context Module Subheader

Optional reading 4

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Attachment

Hernan 2004 - A definition of causal effect for epidemiological research.pdf Hernan 2004 - A definition of causal effect for epidemiological research.pdf 5

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Diaz 2006 - The Birth Weight ‘‘Paradox’’ Uncovered.pdf Diaz 2006 - The Birth Weight ‘‘Paradox’’ Uncovered.pdf 6

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Day 4: Case control studies

Day 4: Case control studies Day 4: Case control studies

Context Module Subheader

Lecture 1

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Attachment

Case-control design_absalon.pdf Case-control design_absalon.pdf 2

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Context Module Subheader

Practicals 3

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Attachment

P2-confounding.pdf P2-confounding.pdf 4

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P2-confounding-solution.pdf P2-confounding-solution.pdf 5

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P2-confounding-solution.R P2-confounding-solution.R 6

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UCBAdmissionsIndiv.csv UCBAdmissionsIndiv.csv 7

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UCBAdmissionsAggr.csv UCBAdmissionsAggr.csv 8

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Context Module Subheader

Optional reading 9

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Westreich 2013 - the table 2 fallacy.pdf Westreich 2013 - the table 2 fallacy.pdf 10

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Day 5: Regression model 1 (introduction to regression models, testing)

Day 5: Regression model 1 (introduction to regression models, testing) Day 5: Regression model 1 (introduction to regression models, testing)

Context Module Subheader

Lecture 1

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Slides - PKA Slides - PKA 2

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Context Module Subheader

Practicals 3

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P3-caseControl.pdf P3-caseControl.pdf 4

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P3-caseControl.R P3-caseControl.R 5

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P3-caseControl-solution.pdf P3-caseControl-solution.pdf 6

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Context Module Subheader

Optional Reading 7

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Mansournia 2013 - Matched designs and causal diagrams.pdf Mansournia 2013 - Matched designs and causal diagrams.pdf 8

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Greenland 2001 - Noncollapsability part1 .pdf Greenland 2001 - Noncollapsability part1 .pdf 9

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Greenland 2001 - Noncollapsability part2 .pdf Greenland 2001 - Noncollapsability part2 .pdf 10

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Day 6: Regression models 2 (Interactions, quantitative covariates)

Day 6: Regression models 2 (Interactions, quantitative covariates) Day 6: Regression models 2 (Interactions, quantitative covariates)

Context Module Subheader

Lecture 1

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Attachment

Slides - PKA Slides - PKA 2

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Context Module Subheader

Practicals 3

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Attachment

Exercise on interaction.docx Exercise on interaction.docx 4

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Attachment

Meaidi 2023 - Venous thromboembolism with use of hormonal contraception and non-steroiudal anti-inflammatory drugs.pdf Meaidi 2023 - Venous thromboembolism with use of hormonal contraception and non-steroiudal anti-inflammatory drugs.pdf 5

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bmj.p1990.full.pdf bmj.p1990.full.pdf 6

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Exercise on interaction_Q&A.docx Exercise on interaction_Q&A.docx 7

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P4-glm-solution.pdf P4-glm-solution.pdf 8

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P4-glm.pdf P4-glm.pdf 9

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P4-glm.R P4-glm.R 10

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fig2-revisited-filled.png fig2-revisited-filled.png 11

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Context Module Subheader

Optional reading 12

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2 - mutsert.pdf 2 - mutsert.pdf 13

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4 - Rod(sub).pdf 4 - Rod(sub).pdf 14

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Day 7: Cox regression model

Day 7: Cox regression model Day 7: Cox regression model

Context Module Subheader

Lecture 1

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Attachment

Slides - PKA Slides - PKA 2

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Context Module Subheader

Practical 3

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P5-survival.pdf P5-survival.pdf 4

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P5-survival.R P5-survival.R 5

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Attachment

P5-survival-solution.pdf P5-survival-solution.pdf 6

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Day 8: Matched case-control and cohort studies

Day 8: Matched case-control and cohort studies Day 8: Matched case-control and cohort studies

Context Module Subheader

Lecture 1

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Attachment

Slides - PKA Slides - PKA 2

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Context Module Subheader

Practical 3

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P6-matching.pdf P6-matching.pdf 4

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diet.txt diet.txt 5

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P6-matching.R P6-matching.R 6

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P6-matching-solution.pdf P6-matching-solution.pdf 7

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Day 9: registry data analysis

Day 9: registry data analysis Day 9: registry data analysis

Context Module Subheader

Lecture 1

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L13-registry.pdf L13-registry.pdf 2

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L13-registry.R L13-registry.R 3

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Context Module Subheader

Practical 4

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slides.pdf slides.pdf 5

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pracs.pdf pracs.pdf 6

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ihd-Lexis-s.R ihd-Lexis-s.R 7

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tableCH.pdf tableCH.pdf 8

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Context Module Subheader

Optional reading 9

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Muller 2014 - Estimating predicted probabilities from logistic.pdf Muller 2014 - Estimating predicted probabilities from logistic.pdf 10

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Hanley 2006 - Hanley Statistical fallibility and the longevity of popes.pdf Hanley 2006 - Hanley Statistical fallibility and the longevity of popes.pdf 11

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Christensen 2022 - Immortal time bias.pdf Christensen 2022 - Immortal time bias.pdf 12

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Day 10: Mini-seminar

Day 10: Mini-seminar Day 10: Mini-seminar

Context Module Subheader

Lecture (link to Github repository: https://github.com/bozenne/article-template/) 1

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reproducibleScience.pdf reproducibleScience.pdf 2

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Attachment

Lecture - reproducebility_absalon.pdf Lecture - reproducebility_absalon.pdf 3

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Attachment

jech-2024-223206.full.pdf jech-2024-223206.full.pdf 4

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Context Module Subheader

Practical 5

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Epidemiological methods in medical research 2025

Course modules

Course description: Epidemiological methods in medical research 2025

Ressources

Pre-course reading material 1

Programming memo 4

Presentation 7

Day 1: Introduction to epidemiology

Lecture 1

Optional reading 6

Day 2: Cohort Studies

Lecture 1

Practicals 3

Day 3: Bias and confounding

Lecture 1

Optional reading 4

Day 4: Case control studies

Lecture 1

Practicals 3

Optional reading 9

Day 5: Regression model 1 (introduction to regression models, testing)

Lecture 1

Practicals 3

Optional Reading 7

Day 6: Regression models 2 (Interactions, quantitative covariates)

Lecture 1

Practicals 3

Optional reading 12

Day 7: Cox regression model

Lecture 1

Practical 3

Day 8: Matched case-control and cohort studies

Lecture 1

Practical 3

Day 9: registry data analysis

Lecture 1

Practical 4

Optional reading 9

Day 10: Mini-seminar

Lecture (link to Github repository: https://github.com/bozenne/article-template/) 1

Practical 5

Feedback 7