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Prosperi, Mattia, Guo, Yi, Sperrin, Matt, Koopman, James S, Min, Jae S, He, Xing, Rich, Shannan, Wang, Mo, Buchan, Iain E 
ORCID: 0000-0003-3392-1650 and Bian, Jiang
(2020)
Causal inference and counterfactual prediction in machine learning for actionable healthcare.
Nature Machine Intelligence, 2 (7).
pp. 369-375.
Prosperi, Mattia, Buchan, Iain ORCID: 0000-0003-3392-1650, Fanti, Iuri, Meloni, Sandro, Palladino, Pietro and Torvik, Vetle I
(2016)
Kin of coauthorship in five decades of health science literature.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 113 (32).
pp. 8957-8962.
Prosperi, Mattia, Bian, Jiang, Buchan, Iain E ORCID: 0000-0003-3392-1650, Koopman, James S, Sperrin, Matthew and Wang, Mo
(2019)
Raiders of the lost HARK: a reproducible inference framework for big data science.
PALGRAVE COMMUNICATIONS, 5 (1).
125-.
Fraccaro, Paolo, van der Veer, Sabine, Brown, Benjamin, Prosperi, Mattia, O'Donoghue, Donal, Collins, Gary S, Buchan, Iain ORCID: 0000-0003-3392-1650 and Peek, Niels
(2016)
An external validation of models to predict the onset of chronic kidney disease using population-based electronic health records from Salford, UK.
BMC MEDICINE, 14 (1).
104-.