Course ObjectiveAfter completing this course, students should be able to design an
epidemiological study, analyze the resulting data and interpret the
results in light of the design and statistical techniques used. This
- identifying an epidemiological research gap and defining an
appropriate research question
- choosing an appropriate design and apply this to the research question
- choosing an appropriate analysis technique
- interpreting the results taking into account validity and reliability
Students should also be able to critically read and assess papers from
Intended learning outcomes:
After completing this course students should be able to
- describe and apply the most frequently applied (basic) epidemiological
research designs De meest gebruikte onderzoeksvormen en designs van
onderzoek binnen de
epidemiologie beschrijven en onderscheiden.
- give a basic description of the outline of an epidemiological study
within one of the designs.
- Apply and interpret the most important epidemiological measures of
frequency and association.
- know which sources of bias exist, when and how these can be manifest
in epidemiological studies and to what extent and in which direction
effect estimates are biased as a result of these sources of bias.
- choose the most appropriate analysis technique for a given
epidemiological research question
- independently conduct basic analyses using standard statistical
- accurately interpret results from these analyses both in terms of the
statistical output as well as of the potential for bias.
- criticaly assess choices in the design, analyses and interpretation of
results as described in scientific papers on epidemiological studies.
Course ContentThis course focuses on the epidemiological method. It offers an
introduction in epidemiological methods, including often applied
statistical techniques. There is a strong focus on the observational
nature of many epidemiological studies and on the way results from
(statistical) analyses are interpreted in the field of epidemiology.
The course covers the following subjects:
- Conducting studies in humans
- epidemiological research designs
- Descriptive and associative measures in epidemiology
- Sources of bias
- Statistical analyses including linear, logistic and survival analysis
- conducting statistical analysis using statistical software.
Teaching MethodsLectures: approximately 24 hours
Work groups: approximately 24 uur
Individual assignment: Approximately 16 hours
Preparation and self study: approximately 96 hours
Method of AssessmentThe final grade consists of the average grade of two written exams
(both weighing 37.5%) and two assignments (both weighing 12.5%)
In order to complete the course students should have at least a 5.5 for
the average of both exams and for each of the assignments.
Entry RequirementsStudents should be able to show knowledge and skills in basic
statistics. This includes descriptive statistics, probabilities and
probability distributions, statistical test theory (e.g. central limit
theorem), p-values, confidence intervals, simpel statistical techniques
such as t-tests and chi-square tests.
LiteratureTextbook for the epidemiology part: Grobee, DE and Hoes, AW, 2015.
Clinical Epidemiology: Principles, Methods and Applications for Clinical
Research (2nd edition)
Textbook for the applied biostatistics part: Kirkwood BR, Sterne JAC.
2003. Essential Medical Statistics (2nd edition).
Target AudienceThis course is aimed at students from the Bachelor Biomedical Sciences
with an interest in epidemiology and / or health sciences research. This
course is mandatory for students who wish to enter the M Health sciences
or the specializations International Public Health within the M
Biomedical Sciences and the M MPA. The course is also open for students
from the Bachelor Pharmaceutical Sciences and other programs such as
Medicine and Human Movement Sciences.
Additional InformationThe ratio of lectures and work groups can be adapted when there are less
than 30 students attending the course.
|Language of Tuition||English|
|Faculty||Faculty of Science|
|Course Coordinator||dr. M.R. de Boer|
|Examiner||dr. M.R. de Boer|
dr. T. Hoekstra
dr. M.R. de Boer
You need to register for this course yourself
Last-minute registration is available for this course.
|Teaching Methods||Lecture, Study Group, Computer lab|
This course is also available as: