Course catalogue doctoral education - VT24
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Title | Epidemiology III. Analysis and Interpretation of Epidemiological Data |
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Course number | 3129 |
Programme | Epidemiologi |
Language | English |
Credits | 1.5 |
Date | 2022-05-24 -- 2022-06-01 | Responsible KI department | Institutet för miljömedicin |
Specific entry requirements | Knowledge equivalent to "Epidemiology I: Introduction to epidemiology", "Epidemiology II: Design of epidemiological studies", "Biostatistics I: Introduction for epidemiologists" or corresponding courses. |
Purpose of the course | The purpose of the course is to familiarise the student with principles for epidemiological data analysis and critical interpretation of study results. |
Intended learning outcomes | After successfully completing this course you as a student are expected to be able to:
- reason about principles of causal inference, - analyse and interpret interaction between causes, - discuss examples of the application of mediation analysis, - evaluate methodological aspects when critically reviewing individual epidemiological studies, - apply good practices for quantitative bias analysis to epidemiological data. |
Contents of the course | The course focuses on issues related to causal inference, principles of epidemiological data analysis, and interpretation of epidemiological concepts and principles of relevance when critically reviewing individual epidemiological studies. |
Teaching and learning activities | Lectures, group discussions and various forms of group exercises on selected topics, will be used. The course focuses on active learning, i.e. putting knowledge into practice and critically reflecting upon the knowledge, rather than memorising facts. |
Compulsory elements | Individual examination task (summative assessment). |
Examination | To pass the course, the student has to show that all the intended learning outcomes have been achieved. Assessments methods used are group assignments (formative assessments) along with a written individual take-home examination. The examination is viewed as contributing to the development of knowledge, rather than as a test of knowledge. Students who do not obtain a passing grade in the first examination will be offered a second chance to resubmit the examination within two months of the final day of the course. Students who do not obtain a passing grade at the first two examinations will be given top priority for admission the next time the course is offered. |
Literature and other teaching material | Suggested reading:
Lash TL, VanderWeele TJ, Haneuse S, Rothman KJ. Modern Epidemiology, 4th Edition, Wolters Kluwer, 2021. Lash TL, Fox MP, Fink AK. Applying quantitative bias analysis to epidemiologic data. Springer, 2009. Scientific papers will be distributed before and during the course. |
Number of students | 8 - 25 |
Selection of students | Eligible doctoral students will be prioritized according to 1) the relevance of the course syllabus for the applicant’s doctoral project (according to written information), 2) date for registration as a doctoral student (priority given to earlier registration date). To be considered, submit a completed application form. Give all information requested, including a short description of current research training and motivation for attending, as well as an account of previous courses taken. |
More information | Course dates are May 24, 25, 30, 31 and June 1. The individual examination will be performed as a take home examination. |
Additional course leader | |
Latest course evaluation | Course evaluation report |
Course responsible |
Anita Berglund Institutet för miljömedicin Anita.Berglund@ki.se |
Contact person |
Johanna Bergman Institutet för miljömedicin johanna.bergman@ki.se Nobels väg 13 17177 Stockholm |
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