Revised by: Programme council for Master Programmes in Public Health, 2023-09-13
Contents
The course focuses on giving an understanding to the statistical reasoning within scientific methodology and the analyses of data. To start with, the role that statistical methodology has within scientific methodology is described and discussed. In the course, different structures of data is discussed, among them quantitative and qualitative data, as well as different levels of measurement. Descriptive statistics is introduced in the course through use of tables, figures and statistical measurements. The concept of statistical inference is introduced with emphasis on confidence intervals and hypothesis tests. Statistical inference is applied through statistical analysis methods for comparisons of groups in order to investigate dependencies between variables. The course is concluded with a description of linear regression as method for analyses. During a literature seminar, research articles related to public health will be discussed with a focus on the statistical method. Throughout the course the theoretical parts will be illustrated from use of practical computer exercises where statistical software is used.
Expected learning outcomes
Knowledge and understanding
After this course, students are expected to:
Comprehend and clarify the role of statistical terminology and the importance of statistical methodology within scientific methodology.
Recognizing different structures of data and having the understanding of statistical inference.
Be able to determine which statistical analysis method that is suitable for different kind of data.
Interpret results of a linear regression analysis.
Skills and abilities
After this course, students are expected to be able to:
Summarize data in tables, figures and with statistical measurements.
Use a statistical software for basic statistical analysis.
Perform suitable statistical analyses in regard to comparisons of groups and dependencies between variables as well interpretation of results from these analyses.
Judgement and approach
After this course, students are expected to:
Discuss the application of basic statistical methodology in public health related articles.
Required Knowledge
For non-programme students applying as freestanding course students, the requirements are 120 ECTS, of which a minimum of 30 ECTS are within one of the following: health sciences, health care, environmental health or social sciences. English proficiency equivalent to English B/6 from Swedish Upper secondary education. Basic entrance requirements for higher studies in Swedish language proficiency is also required if the course is taught in Swedish.
Form of instruction
Teaching is performed through plenary lectures, group exercises, practical computer exercises and seminars. All teaching will be in English.
Examination modes
The examination consists of, a written exam with the grades Fail (U), Pass (G) or Pass with Distinction (VG), a computer exercise with a written report that is graded with Fail (U) or Pass (G) and an assignment with the grade Fail (U) or Pass (G). Students who do not pass the regular examination will have a new examination within 2 months after the first examination.
If there are special reasons, the examiner has the right to decide whether another form of examination can be used. A student who has failed two tests for a course, or a part of a course, are entitled to have another examiner appointed, unless there are specific reasons against it. A written request is submitted to the director of studies.
Deviations from the course syllabus' examination may be made for a student who has been subject to a decision granting pedagogical support due to a disability. Individual adaption of the examination form shall be considered based on the student's needs. The form of examination is adapted within the framework of the expected study results of the course syllabus. At the student's request, the course coordinator shall promptly decide, in consultation with the examiner, on the appropriate form of examination. The decision shall then be communicated to the student.
