This syllabus is valid: 2011-09-05
and until further notice
Course code: 3FH036
Credit points: 5
Education level: Second cycle
Main Field of Study and progress level:
Public Health: Second cycle, in-depth level of the course cannot be classified
Grading scale: Pass with distinction, Pass, Fail
Responsible department: Department of Epidemiology and Global Health
Contents
The focus is on the understanding of statistical reasoning in analysis of data and research. The course starts with a general discussion of the role of probability and statistics in scientific method. Basic study designs and sampling methods are outlined. Types and structures of data are discussed e.g. quantitative and categorical data and different measurement levels. Next step is basic description of data in tables, graphs and measures. The concepts of probability and inference are introduced with emphasis on hypothesis testing and confidence intervals. Different types of analysis are discussed such as comparing two or several groups and analyzing relationships between variables. Parametric and non-parametric statistical tests are described and calculation of sample size is discussed. Epidemiological research articles will be discussed with focus on the statistical methodology. During the whole course theoretical parts will be illustrated with practical exercises for the students in a statistical software program.
Expected learning outcomes
Upon successful completion of the course, the student is expected to
have knowledge about relevant statistical terminology and the role of statistics as a scientific method
recognize different types and structures of data and be able to summarize data in tables, graphs and measures
understand basic statistical concepts about probability and inference with emphasis on hypothesis testing and confidence intervals
be able to use a statistical software for basic statistical analysis
be able to perform appropriate statistical analyses concerning comparisons of groups and relationship between variables and be able to interpret the result of such analyses
understand the content of basic statistical methodology in scientific epidemiological articles
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.
English proficiency equivalent to English A 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 a statistical software. Teaching is given in English.
Examination modes
At the end of the course there is a written exam. 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 Universitys 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.
Course roll call
Attendance is compulsory for the course roll call. A student may be relieved from this obligation only through a decision by the course coordinator and only under special circumstances. Non-attendance without a valid reason may lead to the seat being given to another applicant. The course coordinator will make a decision about this.
Academic credit transfers are always reviewed individually according to the Universitys set of rules and academic credit transfer regulations.
Medical statistics : a textbook for the health sciences Machin David., Campbell Michael J., Walters Stephen John. 4th ed. : Chichester : Wiley : 2007. : xii, 331 p. : ISBN: 0470976632 (e-book) Mandatory Search the University Library catalogue
Basic & clinical biostatistics Dawson Beth, Trapp Robert G 4. ed. : New York : Lange Medical Books/McGraw-Hill : 2004 : 438 s. : ISBN: 0-07-141017-1 (Set) Search the University Library catalogue
Daniel Wayne W. Biostatistics, a foundation for analysis in the health sciences 8th ed. : New York : Wiley : c2005 : xiii, 782. : ISBN: 0-471-45654-3 Search the University Library catalogue
Daniel Wayne W. Biostatistics, a foundation for analysis in the health sciences 8th ed. : New York : Wiley : c2005 : xiii, 782. : ISBN: 0-471-45654-3 Mandatory Search the University Library catalogue
Basic & clinical biostatistics Dawson Beth, Trapp Robert G 4. ed. : New York : Lange Medical Books/McGraw-Hill : 2004 : 438 s. : ISBN: 0-07-141017-1 (Set) Search the University Library catalogue