Biostatistics I - Spring [CK020s]
Monday-Friday, the course covers a fulltime workload.
Dr. Isabella Kardys
Participants are expected to have a basic knowledge of standard mathematical concepts to the level of the CK001 course (formerly BST01).
Detailed information about this course:
The analysis of collected data is an inevitable part of almost any medical research project. Consequently, knowledge of and insight in the basic principles of data-analysis are essential for medical researchers. This course, Biostatistics I: basic principles, is designed to teach classical and basic statistical techniques for the analysis of medical research data. The course comprises lectures as well as computer practicals, in which students will apply the widely used statistical software packages SPSS and/or R to work through exercises.
In this course, which lasts one week, basic applications of biostatistics will be introduced, including descriptive statistics, general principles of statistical hypothesis testing, statistical inferences on means and proportions, and interval estimates for association measures.
During the lectures, time will be spent on practical examples and exercises. During the practicals, examples of SPSS- and R-programmes and -output will be covered in relation to the topics that will be discussed.
Understanding and using basic applications of biostatistics in the analysis of medical research data, like descriptive statistics, general principles of statistical hypothesis testing, statistical inferences on means and proportions, and interval estimates for association measures.
Clinical researchers, clinical epidemiologists, decision scientists, public health researchers, those in health technology assessment or value-based healthcare.
This course is not available to students in the NIHES degree programmes.
Reduction on fees
PLEASE NOTE THIS DOES NOT APPLY TO THE RESEARCH MASTERS (120 EC points)
No fees are charged for participation of Erasmus MC PhD candidates
Please note that in case of cancellation or no show, the cancellation policy applies based on the full course fee.
25% reduction for all (international) PhD students without formal appointment at Erasmus MC
Upon receipt of your application you will receive a request to upload proof of enrollment as a PhD student.