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Syllabus:

Advanced methods in epidemiology, 5 Credits

Swedish name: Avancerade metoder i epidemiologi

This syllabus is valid: 2014-09-01 and until further notice

Course code: 3FH034

Credit points: 5

Education level: Second cycle

Grading scale: Three-grade scale

Responsible department: Department of Epidemiology and Global Health

Revised by: Programme council for the International Master Programme in Public Health (PRPH), 2014-05-21

Contents

The purpose of this course is to provide students with deeper knowledge of advanced methods in epidemiology, focusing on study designs, potential pitfalls in causal research (i.e. errors, confounding, and effect modification), and different modelling strategies of epidemiological data analyses. Students will also gain skills in the analysis and interpretation of epidemiological datasets. Students will learn to conduct advanced epidemiological analysis, including logistic regression, Poisson regression, Cox regression and multilevel analysis using statistical software. Students will also be guided in interpreting and reporting results from epidemiological studies in scientific publications.

Expected learning outcomes

After completing the course, the student should be able to: • discuss the different methodological consideration and approaches to different study designs in understanding causalities • discuss different situations when various regression analyses, such as logistic regression, Poisson regression, Cox regression and multilevel analysis can be used in epidemiology analysis, and interpret results from regression analyses. • analyze and report sources of errors occurring in an epidemiological study • independently make an advanced analysis for an epidemiological research report.

Required Knowledge

For non-programme students applying as single-course students, the requirements are 120 ECTS, of which a minimum of 30 ECTS are within one of the following: health sciences, environmental health or social sciences. To be admitted to the course the applicant must have passed the course 3FH038 Epidemiology or have equivalent qualifications.

English proficiency equivalent to English A/5 from Swedish Upper secondary education. (IELTS (Academic) with minimum score 5.5 and no individual score below 5.0. TOEFL (Paper based with minimum score 530 and minimum TWE 4). TOEFL (Internet based with minimum score 72 and minimum Written 17)). Basic entrance requirements for higher studies in Swedish language proficiency is also required if the course is taught in Swedish.

Form of instruction

Teaching on the course is concentrated to two weeks during the course period. Teaching is conducted through lectures, group exercises, seminars and computer sessions applying statistical software. Group exercises and computer sessions are compulsory. Teaching is given in English.

Examination modes

At the end of the course there is a written exam. All compulsory assignments should be submitted before a final grade can be issued. For students who have not received a passing grade at the first written exam on the course, a re-sit exam is arranged. A student who fails two examinations has the right to a change of examiner according to the University’s set of rules. A request to change examiner should be sent to the Board of the Faculty of Medicine.

Other regulations

Start-of-study respite A respite for the start of studies may be granted under special circumstances. Examples of such circumstances are illness, military service, pregnancy, care of children or other nursing responsibilities etc. A negative decision about start-of-study respite may be appealed to Överklagandenämnden för högskolan.



Academic credit transfers are always reviewed individually according to the University’s set of rules and academic credit transfer regulations.

Literature

Valid from: 2015 week 37

Epidemiology : beyond the basics
Szklo Moyses, Nieto F. Javier
3rd ed. : Sudbury, Mass : Jones & Bartlett Publishers Inc : cop. 2014 : xiii, 515 s. :
ISBN: 9781449604691
Mandatory
Search the University Library catalogue

Dupont William D.
Statistical modeling for biomedical researchers : a simple introduction to the analysis of complex data
2. ed. : Cambridge, UK : Cambridge University Press : 2009. : xx, 522 s. :
ISBN: 9780521849524 (hardback)
Mandatory
Search the University Library catalogue