Study location	Netherlands, Maastricht
Type	Summer Courses, Intensive - Full time
Study language	English
Course code	MSS2030

Tuition fee	€699 one-time Early Bird Discount: €649,00. Valid until 17 February 2025.

Entry qualification

Enrolled as an undergraduate student or holder of an undergraduate diploma, including those pursuing advanced studies or professional careers. This intensive course is designed for people with a degree or major in nursing, medicine, and medical research. Knowledge of descriptive statistics and basic calculus would be preferable. The entry qualification documents are accepted in the following languages: English. Often you can get a suitable transcript from your school. If this is not the case, you will need official translations along with verified copies of the original.

Language requirements	English The language of the course is English, so we expect a fluent level and the ability to follow and participate in class.

More information	maastrichtsummerschool.nl

Overview

Course Description
This intensive course is designed for postgraduate researchers in nursing, medicine, and medical research. The goal is to provide a strong foundation in mathematical and statistical concepts that are essential for advanced clinical research. The course will cover descriptive and inferential statistics, hypothesis testing, epidemiological data analysis, and the application of mathematical techniques in clinical studies. It will focus on practical applications to help researchers effectively analyse and interpret health data. This course provides the mathematical and statistical tools necessary to design robust studies, interpret clinical data, and apply findings effectively to improve patient outcomes. By combining theoretical knowledge with practical skills, participants will be better equipped to conduct high-quality research, understand epidemiological trends, and contribute significantly to their fields.
Structure: 1. Fundamentals of Statistics for Clinical Research Descriptive and Inferential Statistics (revision) Probability Distributions and Sampling Hypothesis Testing and Confidence Intervals 2. Basic Mathematical Epidemiology Basic Concepts of Mathematical Epidemiology Risk Analysis and Epidemiological Modelling 3. Regression Analysis in Clinical Research Linear (revision) and Logistic Regression in Clinical Research.

Goals
The main objectives are:
• Provide a strong foundation in mathematical and statistical concepts that are essential for advanced clinical research.
• The course will cover descriptive and inferential statistics, hypothesis testing, epidemiological data analysis, and the application of mathematical techniques in clinical studies.
• It will focus on practical applications to help researchers effectively analyse and interpret health data.

Recommended Literature
• Pepe, M. S. (2003). The Statistical Evaluation of Medical Tests for Classification and Prediction. Oxford University Press. ISBN: 978-0198565826Altman.
• D. G. (1990). Practical Statistics for Medical Research. CRC Press. ISBN: 978-0429258589
• Motulsky, H. (2017). Intuitive Biostatistics: AN on mathematical Guide to Statistical Thinking (4th ed.). Oxford University Press. ISBN: 978-0190643560
• Rothman, K.J., Haneuse, S, Vanderweele, T. J. & Lash, T. L. (2021). Modern Epidemiology (4th ed.). Wolters Kluwer Health. DOI: 10.1007/s10654-021-00778-w
• Kirkwood, B. R.,& Sterne, J. A. C. (2003). Essential Medical Statistics (2nd ed.). Wiley-Blackwell. ISBN: 978-0-865428713
• Pagano, M., Gauvreau, K. & Mattie, H.(2022). Principles of Biostatistics (3rd ed.) e-book. CRC Press. ISBN: 978-0429340512
• Rosner, B. (2015). Fundamentals of Biostatistics (8th ed.).Cengage Learning. ISBN: 978-1305268920
• Martcheva, M. (2015). An Introduction to Mathematical Epidemiology e-book. Springer. ISBN: 978-1489976123

Teaching Methods
Lectures, Interactive Class, Presentations

Assessment Methods
Assignment, Participation, Presentation

Course Coordinator
Henrique Manuel Santos Silveira Oliveira