Biostatistics, part 2, 5 Credits

Contents

The focus of the course is on the understanding of statistical reasoning in analysis of data and research. The measurement process is discussed in the context of statistical model choice and basic data management is introduced. Regression analysis is a statistical technique used for analyzing the relationship between response and explanatory variables and during the main part of the course different types of regression analyses are described and discussed. Types of analyses taught are linear regression where the response is normal distributed, logistic regression where the response is binary, Poisson regression where the response is “counts” and Cox regression where the response is time to event. Basic concepts in survival analysis (e.g. censoring, survival- and hazard function) are introduced. 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 the measurement process in the context of statistical model choice and have knowledge about basic data management • understand basic theory about different regression models (linear-, logistic-, poisson- and cox regression) and have knowledge about basic concepts in survival analysis • be able to use a statistical software for basic statistical analysis • be able to perform appropriate statistical analyses concerning different regression models (linear-, logistic-, Poisson- and Cox regression) and be able to interpret the result of such analyses • understand and critically evaluate the content of 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. To be admitted to the course the applicant must have passed the course 3FH036 Biostatistics part 1, 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 a statistical soft ware. 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 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. 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 University’s set of rules and academic credit transfer regulations.