This course is a self-contained introduction to probabilistic and statistical methods used in risk management. A number of important questions and methods will be examined, including: How is the risk ...

This paper reviews methodological issues if non-probability data are used to compile official statistics. Two different research lines can be identified to use non-probabilty data sources in the ...

The book consists of seven sections that cover the entire production process. Snijkers is clear: ‘We took the targeted statistical output as our starting point: which statistics are really needed?

Statistical methods, as a technique, encompass a set of quantitative procedures for collecting, summarizing, modeling, and inferring properties of data under uncertainty. They include techniques for ...

Abstract: Assumptions play a pivotal role in the selection and efficacy of statistical models, as unmet assumptions can lead to flawed conclusions and impact decision-making. In both traditional ...

The product development lifecycle is long and challenging. Whether it is translational research or clinical research, there are numerous obstacles in the design and management of a study and ...

This course aims to provide an understanding of the statistical principles behind, and the practical application of, mediation analyses in epidemiology. Please click on the sections below for more ...

This course is available on the Executive MSc in Health Economics, Outcomes and Management in Clinical Sciences. This course is not available as an outside option to students on other programmes. This ...