Course type: elective
Lecturer: Lara Lusa, Ph.D., Associate Professor
 

For the timeline see Curriculum.

Prerequisites:

• Regular inscription.

Content (Syllabus outline):

• Type of studies in medicine. 

• Design of experimental and epidemiological research; power of the statistical tests and sample size calculation, choice of variables and of statistical units, methods for data collection and quality control.
• Analysis of experimental and epidemiological research: emphasis is given on the use of regression models:
  • Linear regression model, logistic regression model and models for survival data. 
  • Missing data. 
  • Correlated data. 
• Use of the statistical program R.       

Objectives and competences:
Well designed and analyzed clinical and epidemiological research can provide answers to very important questions in the field of medicine. For example, they can demonstrate the efficacy of a new treatment or show the association between a disease and a risk factor. The aim of the course is to provide the student with the knowledge needed to work independently on the statistical aspects in standard clinical and epidemiological research. The main emphasis is on the design and analysis of data.

Intended learning outcomes:
The student recognizes the main differences between the different types of studies in medicine, he or she can design a research project and prepare the protocol of the research. The student knows how to choose the most appropriate method for the analysis of data and knows how to prepare a report that presents the design of the research, the statistical analysis and the results.