BMC Medical Research Methodology is welcoming submissions for our collection focused on "Prediction Methods for Rare Diseases or Outcomes". The collection aims to showcase innovative research on the development and validation of prediction models with a focus on rare events.
In recent years, there has been growing interest in the development of prediction models for rare diseases, which are often difficult to diagnose due to their low prevalence and frequent lack of knowledge about their underlying biology. These models can be used to identify patients at high risk of developing a rare disease, facilitate early diagnosis and treatment, and inform the design of clinical trials. Additionally, these methods can be used to predict rare outcomes such as adverse drug reactions or surgical complications.
We welcome papers that address the following topics:
• Development and validation of prediction models for rare diseases or outcomes
• Discussion of challenges and advances in modeling rare event data
• Innovative Application of prediction models to undiagnosed diseases
• Comparison of different prediction methods for rare diseases or outcomes
We encourage submissions from a wide range of disciplines, including biostatistics, medical informatics, epidemiology, genetics, and clinical medicine. This collection aims to contribute to the development of effective prediction methods for rare diseases or outcomes, and to facilitate the translation of these methods into clinical practice.
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