After completing a Master’s degree in bioinformatics, he stayed on there to write his doctoral thesis at the Max Planck Institute for Informatics. His thesis examined causal discovery – statistical ...

Id: 038569 Credits Min: 3 Credits Max: 3 Description. This course introduces statistical methods and techniques for multivariate data analysis. The course studies basic ideas underlying multivariate ...

Show how to apply cutting-edge statistical methods for risk management; Analyse approaches and challenges affecting risk management; Apply statistical methods including Value-at-Risk, Expected ...

Statistical Methods for Mediation Analysis Mediation analysis examines what variables may lie on the causal pathway between an exposure and an outcome. Mediation models are useful for understanding ...

Milestone articles have highlighted the frequency and types of statistical errors in research,1–5 yet fundamental errors ...

The MSc in Social Research Methods and Statistics is designed to be accessible to non-statisticians, yet is more focused than many other existing master's courses in social research methods. The MSc ...

A First Course in Mathematical Statistics By Prof. C. E. Weatherburn. Pp. xv + 272, (Cambridge: At the University Press, 1946.) 15s. net. Nature - Mathematical Methods of Statistics A First Course ...

By the end of the course, students are equipped to compose their own research proposals, guided by the diverse expertise of the guest speakers. “This semester [Spring, 2025], we added a seminar on AI ...

Statistical errors are common in many biomedical fields.1–5 We believe the nature and impact of these errors to be great enough in sports science and medicine to warrant special attention.6–14 Poor ...

3 Discuss and explain the theory of nutrition assessment methods (e.g. anthropometry, dietary) and apply appropriately in different research designs. 4 Competently plan and perform basic statistical ...