Jenny A Lee

Covariate-specific ROC curve analysis can accommodate differences between covariate subgroups in the evaluation of diagnostic accuracy.

F. Klok, G. Geersing, T. Takada, 2023, Journal of clinical epidemiology.

QUAPAS: An Adaptation of the QUADAS-2 Tool to Assess Prognostic Accuracy Studies

P. Bossuyt, M. Leeflang, P. Whiting, 2022, Annals of Internal Medicine.

Diagnostic accuracy of non-invasive tests for advanced fibrosis in patients with NAFLD: an individual patient data meta-analysis

V. Wong, M. Ziol, V. de Lédinghen, 2021, Gut.

Diagnostic accuracy of elastography and magnetic resonance imaging in patients with NAFLD: a systematic review and meta-analysis.

L. N. Valenti, K. Clément, M. Karsdal, 2021, Journal of hepatology.

Performance of non-invasive tests and histology for the prediction of clinical outcomes in patients with non-alcoholic fatty liver disease: an individual participant data meta-analysis.

V. Wong, V. de Lédinghen, P. Bossuyt, 2023, The lancet. Gastroenterology & hepatology.

Increased serum miR-193a-5p during non-alcoholic fatty liver disease progression: Diagnostic and mechanistic relevance

L. N. Valenti, C. Trautwein, S. Cockell, 2021, JHEP reports : innovation in hepatology.

Prognostic accuracy of FIB‐4, NAFLD fibrosis score and APRI for NAFLD‐related events: A systematic review

P. Bossuyt, R. Spijker, Q. Anstee, 2020, Liver international : official journal of the International Association for the Study of the Liver.

FibroTest for Evaluating Fibrosis in Non-Alcoholic Fatty Liver Disease Patients: A Systematic Review and Meta-Analysis

P. Bossuyt, R. Spijker, Q. Anstee, 2021, Journal of clinical medicine.

Accuracy of cytokeratin 18 (M30 and M65) in detecting non-alcoholic steatohepatitis and fibrosis: A systematic review and meta-analysis

P. Bossuyt, K. Duffin, K. Zwinderman, 2020, PloS one.

Enhanced liver fibrosis test for the non-invasive diagnosis of fibrosis in patients with NAFLD: A systematic review and meta-analysis.

P. Bossuyt, D. Schuppan, M. Orešič, 2020, Journal of hepatology.

Machine learning algorithm improves the detection of NASH (NAS-based) and at-risk NASH: A development and validation study

P. Bossuyt, M. Allison, J. Dufour, 2023, Hepatology.