Dynamic borrowing from a single prior data source using the conditional power prior
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Biopharmaceutical Statistics"
DOI: 10.1080/10543406.2021.1895190
Abstract: ABSTRACT The conditional power prior is a popular method to borrow information from a single prior data source. The amount of borrowing is controlled by the power parameter which is fixed before running the new… read more here.
Keywords: similarity; power parameter; study; power ... See more keywords
Tabular prior-data fitted network in real-world CT radiomics: benign vs. malignant renal tumor classification
Sign Up to like & getrecommendations! Published in 2025 at "Quantitative Imaging in Medicine and Surgery"
DOI: 10.21037/qims-2025-1132
Abstract: Background Radiomics-based machine learning (ML) models can potentially distinguish between benign and malignant renal tumors on computed tomography (CT). Traditional algorithms necessitate intensive hyperparameter tuning and large datasets for optimization. This study assessed the novel… read more here.
Keywords: prior data; fitted network; malignant renal; data fitted ... See more keywords