08780

Biomedical statistics

Charlotte Jensen, Roswitha Merle und Marcus Doherr

Information for students

The event is offered in e-learning format throughout the semester. In addition, interactive WebEx sessions might be offered; these dates will be announced during the semester. The course is listed in the weekly study plan, however, the teaching material for each week, including recorded lecture videos, will be made available via Blackboard at the beginning of the week. The students are encouraged to work through the VL material and the homework exercises on their own. In addition, small exercises and statistical calculations are carried out during the lecture and as part of homework. It is mandatory to complete the homework exercises provided online for each module and answer the mini-quizzes by the end of the respective week. Each mini quiz consists of 6 MCQs (72 questions in total). To successfully complete the course, at least 54 questions (75%) must be answered correctly. If individual quizzes are missed for justifiable reasons, an alternative task cab be defined. close

Additional information / Pre-requisites

Students who have already completed a compulsory lecture in statistics with performance assessment/examination amounting to at least 2 SWS in previous higher education degree programs can have this credited and are then exempt from the learning objective assessment (MC quizzes for each topic module). An application form and corresponding proof of achievement (module descriptions and certificate) must be sent electronically to the course instructor by the first day of lectures, who will decide on partial or full recognition. close

Comments

As part of this introductory statistics lecture, the basic terms and methods of population medicine (epidemiology), data collection and data evaluation (statistics) are presented using intuitive examples. In particular, the following topics are addressed: (1) definitions and areas of application of epidemiology and statistics, (2) data formats and descriptions, (3) measures of disease frequency and association, (4) properties and areas of application of diagnostic test procedures, (5) probability distributions (Binomial, Normal) and computing with probabilities, (6) descriptive statistics, (7) formulating and testing statistical hypotheses and (8) univariable statistical tests close