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This is a Literature Review study.

The Enemies of Reliable and Useful Clinical Prediction Models: A Review of Statistical and Scientific Challenges

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Review identifies statistical and scientific challenges in clinical prediction models, suggesting improvements for treatment decisions.

Many clinical prediction models are poorly developed, leading to limited clinical impact and utility.
The review identifies 12 challenges, categorized into context, data, design and analysis, and scientific culture.
Negative examples highlighted alongside recommendations aim to enhance model evaluation and implementation.
Raising awareness among researchers and healthcare professionals is crucial to improve clinical outcomes and patient care.

Calster et al. (2025) studied this question.

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