8. April 2021
Model-based Insights into Complex Diseases assessed by Composite Scores
Many complex diseases such as Alzheimers Disease, Liver Diseases (NAFLD/NASH) and Prostatic Hyperplasia require a palette of clinical assessments, often including Patient Reported Outcomes (PRO), in order to characterise the spectre of disease symptoms. For diagnosis, evaluation of disease progression and treatment effects, clinical assessments are often integrated in one or more Composite Scores. This condensate rich multivariate data into single scales that are easier to work with in a clinical reality. However, the loss of information in Composite Scores present real challenges: How to interpret relative changes in scores over time and following treatment? How do scores relate to the underlying assessments? And to the patient perceived symptoms? At this PopSim meeting we will discuss model-based approaches to Composite Score analysis that may elevate the valuable information about the complexity of disease in underlying data.
Meeting introduction (Rasmus Juul Kildemoes, Chairman PopSim, Novo Nordisk)
General concepts in Composite Score modelling and Item Response Theory (Sebastian Ueckert, Uppsala University)
Disease progression modelling in Alzheimers Disease (Lars Lau Raket, Novo Nordisk)
Evaluation of noninvasive biomarkers to reflect histological nonalcoholic fatty liver disease (NAFLD) scores – a holistic analysis (Iris Minichmayr, Uppsala University)
Item Response Theory Modelling of Symptom Scores and PROs in Prostatic Hyperplasia (Yassine Kamal Lyauk, Novo Nordisk)
Concluding remarks (Rasmus Juul Kildemoes, Chairman PopSim, Novo Nordisk)
This meeting is fully virtual on Teams. Participation is free of charge, but registration is required to receive Teams link.
For questions or help with sign-up please contact:
Rasmus Juul Kildemoes: email@example.com