According to the World Health Organization, overweight and obesity are major risk factors for a number of chronic diseases, including cardiovascular diseases such as heart disease and stroke, which are the leading causes of death worldwide. This dissertation evaluates, replicates and validates the current structural modelling landscape in obesity, with an emphasis on commonly applied obesity-associated event simulation approaches. It aims to increase trust and confidence in the selection and interpretation of results related to specific methodological approaches commonly used as basis for health economic models in obesity. This research was able to identify some important aspects related to the health economic modelling methodology in general, and key aspects specifically related to the field of obesity. Besides highlighting and investigating the aspects related to research integrity of published health economic models, our research formed a basis for evaluating the strengths and weaknesses of different structural event simulation approaches. Furthermore, we defined valuable future areas of research to further enhance trust and confidence in health economic modelling, especially in the field of obesity.
|Qualification||Doctor of Philosophy|
|Award date||6 Mar 2023|
|Place of Publication||Maastricht|
|Publication status||Published - 2023|