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Vår 2016
TLM-3070 Quantitative Research Methods and Epidemiology - 5 stp
The course is administrated by
Type of course
Theoretical and practical.
The course can be taken as a single course as long as the admission requirements for the Master Programme are satisfied.
Course contents
The methods taught in this course represent the analytical core of clinical and epidemiological studies.
The course covers the following topics:
1) Scientific basics of quantitative research methodology.
2) Evidence, search for scientific literature, search tools.
3) Descriptive and analytical statistics, hypothesis testing.
4) Types of clinical and epidemiological studies.
5) Good clinical practice, study protocols.
6) Data handling, practical work with statistics software.
7) Work with selected good examples of published clinical and epidemiological trials.
Application deadline
Singular Course Admission deadlines:
Applications from Nordic countries: 1 December for the spring semester and 1 June for the autumn semester.
Exchange students: 1 October for the spring semester and 15 April for the autumn semester.
Admission requirements
Bachelor Degree in Health related disciplines.
Code: 9371 (Singular Course - Master - Nordic countries)
Objective of the course
Learning Outcomes:
The course will give the students knowledge in clinical and epidemiological research methodology.
After the course, the students should be able to:
1) Elaborate the state of the art regarding a specific clinical or epidemiological problem.
2) Relate their own work appropriately to the state of the art, knowing how to search and build on relevant literature (in principal).
3) Formulate a research question, define outcome variables, estimate expected effects, perform a power analysis, formulate a hypothesis.
4) Design a complete study protocol in order to provide valid answers to the research question, including: rationale, research hypotheses, study type, subject recruitment, inclusion/exclusion criteria, data acquisition, quality management, ethical considerations, etc.
5) Practically perform analyses in R statistics or SPSS, e.g. take example data from the lecture and redo computations for exercise (parameters, sensitivity, specificity, PPV, PNV, power analyses; hypothesis testing,etc.); download WHO health data, clean them in a spreadsheet program (e.g. Excel), and use them as data source to investigate e.g. associations between selected indicators.
Language of instruction
Teaching methods
Assessment
2-weeks' take-home examination based on a specific assignment.
Norwegian grading system: A-E, with F as fail.
There will not be arranged a re-sit exam for this course.
Recommended reading/syllabus
The following book is recommended:
Aviva Petrie & Caroline Sabin - Medical Statistics at a Glance (John Wiley & Sons, 2009; 3rd edition; ISBN: 978-1405180511).
Additional material may be distributed during lectures.