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Number of items: 12.


Martin, Glen P, Mamas, Mamas A, Peek, Niels, Buchan, Iain ORCID: 0000-0003-3392-1650 and Sperrin, Matthew
(2017) Clinical prediction in defined populations: a simulation study investigating when and how to aggregate existing models. BMC MEDICAL RESEARCH METHODOLOGY, 17 (1). 1-.


Martin, Glen P, Sperrin, Matthew, Snell, Kym IE, Buchan, Iain ORCID: 0000-0003-3392-1650 and Riley, Richard D
(2021) Clinical prediction models to predict the risk of multiple binary outcomes: a comparison of approaches. STATISTICS IN MEDICINE, 40 (2). pp. 498-517.


Pate, Alexander, Sperrin, Matthew, Riley, Richard D, Sergeant, Jamie C, Van Staa, Tjeerd, Peek, Niels, Mamas, Mamas A, Lip, Gregory YH ORCID: 0000-0002-7566-1626, O'Flaherty, Martin ORCID: 0000-0001-8944-4131, Buchan, Iain ORCID: 0000-0003-3392-1650
et al (show 1 more authors) (2023) Developing prediction models to estimate the risk of two survival outcomes both occurring: A comparison of techniques. STATISTICS IN MEDICINE, 42 (18). pp. 3184-3207.


Martin, Glen P, Sperrin, Matthew, Ludman, Peter F, deBelder, Mark A, Gunning, Mark, Townend, John, Redwood, Simon R, Kadam, Umesh T, Buchan, Iain ORCID: 0000-0003-3392-1650 and Mamas, Mamas A
(2018) Do frailty measures improve prediction of mortality and morbidity following transcatheter aortic valve implantation? An analysis of the UK TAVI registry. BMJ open, 8 (6). e022543-e022543.


Martin, Glen P, Sperrin, Matthew, Ludman, Peter F, de Belder, Mark A, Gale, Chris P, Toff, William D, Moat, Neil E, Trivedi, Uday, Buchan, Iain ORCID: 0000-0003-3392-1650 and Mamas, Mamas A
(2017) Inadequacy of existing clinical prediction models for predicting mortality after transcatheter aortic valve implantation. AMERICAN HEART JOURNAL, 184. pp. 97-105.


Tsvetanova, Antonia, Sperrin, Matthew, Peek, Niels, Buchan, Iain ORCID: 0000-0003-3392-1650, Hyland, Stephanie and Martin, Glen P
(2021) Missing data was handled inconsistently in UK prediction models: a review of method used. JOURNAL OF CLINICAL EPIDEMIOLOGY, 140. pp. 149-158.


Martin, Glen P, Sperrin, Matthew, Ludman, Peter F, de Belder, Mark A, Redwood, Simon R, Townend, Jonathan N, Gunning, Mark, Moat, Neil E, Banning, Adrian P, Buchan, Iain ORCID: 0000-0003-3392-1650
et al (show 1 more authors) (2018) Novel United Kingdom prognostic model for 30-day mortality following transcatheter aortic valve implantation. HEART, 104 (13). pp. 1109-1116.


Martin, Glen P, Sperrin, Matthew, Bagur, Rodrigo, de Belder, Mark A, Buchan, Iain ORCID: 0000-0003-3392-1650, Gunning, Mark, Ludman, Peter F and Mamas, Mamas A
(2017) Pre-Implantation Balloon Aortic Valvuloplasty and Clinical Outcomes Following Transcatheter Aortic Valve Implantation: A Propensity Score Analysis of the UK Registry. Journal of the American Heart Association, 6 (2). e004695-.


Le Sueur, Helen, Dagliati, Arianna, Buchan, Iain ORCID: 0000-0003-3392-1650, Whetton, Anthony D, Martin, Glen P, Dornan, Tim and Geifman, Nophar
(2020) Pride and prejudice – What can we learn from peer review? Medical Teacher, 42 (9). pp. 1-7.


Martin, Glen P, Sperrin, Matthew, Hulme, William, Ludman, Peter F, de Belder, Mark A, Toff, William D, Alabas, Oras, Moat, Neil E, Doshi, Sagar N, Buchan, Iain ORCID: 0000-0003-3392-1650
et al (show 3 more authors) (2017) Relative Survival After Transcatheter Aortic Valve Implantation: How Do Patients Undergoing Transcatheter Aortic Valve Implantation Fare Relative to the General Population? JOURNAL OF THE AMERICAN HEART ASSOCIATION, 6 (10). e007229-.


Sperrin, Matthew, Martin, Glen P, Pate, Alexander, Van Staa, Tjeerd, Peek, Niels and Buchan, Iain ORCID: 0000-0003-3392-1650
(2018) Using marginal structural models to adjust for treatment drop-in when developing clinical prediction models. STATISTICS IN MEDICINE, 37 (28). pp. 4142-4154.


Martin, Glen P, Mamas, Mamas A, Peek, Niels, Buchan, Iain ORCID: 0000-0003-3392-1650 and Sperrin, Matthew
(2018) A multiple-model generalisation of updating clinical prediction models. STATISTICS IN MEDICINE, 37 (8). pp. 1343-1358.

This list was generated on Sat Jan 6 23:09:08 2024 GMT.