Selected Publications

Here is a list of some of my selected publications. A full list of my publications is avaliable here.

2020

• Riley, R.D., Ensor, J., Snell, K.I.E., Harrell, F.E., Martin, G.P., Reitsma, J.B., Moons, K.G.M., Collins, G., Smeden, M.V. Calculating the sample size required for developing a clinical prediction model. BMJ. (2020). DOI: https://doi.org/10.1136/bmj.m441
• Martin, G.P., Sperrin, M., Snell, K.I.E., Buchan, I., Riley, R.D. Clinical Prediction Models to Predict the Risk of Multiple Binary Outcomes: a comparison of approaches. arXiv (2020): https://arxiv.org/abs/2001.07624
• Martin, G.P., Jenkins, D., Bull, L., Sisk, R., Lin, L., Hulme, W., Wilson, A., Wang, W., Barrowman, M., Sammut-Powell, C., Pate, A., Sperrin, M., Peek, N. Towards a Framework for the Design, Implementation and Reporting of Methodology Scoping Reviews. Journal of Clinical Epidemiology (2020). DOI: https://doi.org/10.1016/j.jclinepi.2020.07.014
• Mistry, C., Palin, V., Li, Y., Martin, G.P., Jenkins, D., Welfare, W., Ashcroft, D.M., van Staa, T. Development and Validation of a Multivariable Prediction Model for infection-related complications in patients with common infections in UK primary care and the extent of risk-based prescribing of antibiotics. BMC Medicine. (2020). DOI: https://doi.org/10.1186/s12916-020-01581-2
• Bull, L.M., Lunt, M., Martin, G.P., Hyrich, K., Sergeant, J.C. Harnessing repeated measurements of predictor variables for clinical risk prediction: A review of existing methods. BMC Diagnostic and Prognostic Research. (2020). DOI: https://doi.org/10.1186/s41512-020-00078-z
• Sperrin, M., Martin G.P. Multiple Imputation with Missing Indicators as Proxies for Unmeasured Variables: simulation study. BMC Medical Research Methodology (2020). DOI: https://doi.org/10.1186/s12874-020-01068-x

2019

• Martin, G.P., Kwok, C.S., Van Spall, H.G.C., Volgman, A.S., Michos, E.D., Parwani, P., Alraies, M.C., Thamman, R., Kontopantelis, E., Mamas, M.A. Readmission and Processes of Care across Weekend and Weekday Hospitalisation for Acute Myocardial Infarction, Heart Failure or Stroke: an observational study of the National Readmission Database. BMJ Open (2019). DOI: 10.1136/bmjopen-2019-029667
• Martin, G.P., McDonald, K.R., Allsop, D., Diggle, P.J., Leroi, I., Apathy as a behavioural marker of cognitive impairment in Parkinson’s disease: A longitudinal analysis. Journal of Neurology (2019). DOI: https://doi.org/10.1007/s00415-019-09538-z
• Sperrin, M., Jenkins, D., Martin, G.P., Peek, N. Explicit causal reasoning is needed to prevent prognostic models being victims of their own success. Journal of the American Medical Informatics Association (2019) DOI: https://doi.org/10.1093/jamia/ocz197
• Li, Y., Sperrin, M., Martin, G.P., Ashcroft, D., Van Staa, T.P. Examining the impact of data quality and completeness of electronic health records on predictions of patients’ risks of cardiovascular disease. International Journal of Medical Informatics (2019) DOI: https://doi.org/10.1016/j.ijmedinf.2019.104033

2018

• Martin, G.P., Sperrin, M, Ludman, P.F., de Belder, M.A., Gunning, M., Townend, J., Redwood, S.R., Kadam, U.T., Buchan, I., Mamas, M.A. Do frailty measures improve prediction of mortality and morbidity following transcatheter aortic valve implantation? An analysis of the UK TAVI registry. BMJ Open. (2018). DOI: 10.1136/bmjopen-2018-022543
• Martin, G.P., Sperrin, M., Mamas, M.A. Pre-procedural risk models for patients undergoing transcatheter aortic valve implantation. Journal of Thoracic Disease. (2018). DOI: 10.21037/jtd.2018.05.67
• Sperrin, M., Martin, G.P., Pate, A., Van Staa, T., Peek, N., Buchan, I. Using marginal structural models to adjust for treatment drop-in when developing clinical prediction models. Statistics in Medicine. (2018). DOI: 10.1002/sim.7913
• Jenkins, D.A., Sperrin, M., Martin, G.P., Peek, N. Dynamic models to predict health outcomes: Current status and methodological challenges. BMC Diagnostic and Prognostic Research (2018). DOI: https://doi.org/10.1186/s41512-018-0045-2

2017

• Martin, G.P., Sperrin, M., Ludman, P.F., de Belder, M.A., Gale, C.P., Toff, W.D., Moat, N.E., Trivedi, U., Buchan, I., Mamas, M.A. Inadequacy of Existing Clinical Prediction Models for Predicting Mortality after Transcatheter Aortic Valve Implantation. American Heart Journal. (2017) DOI: 10.1016/j.ahj.2016.10.020
• Martin, G.P., Sperrin, M., Ludman, P.F., de Belder, M.A., Redwood, S.R., Townend, J.N., Gunning, M., Moat, N.E., Banning, A.P., Buchan, I., Mamas, M.A. Novel United Kingdom prognostic model for 30-day mortality following transcatheter aortic valve implantation. Heart. (2017). DOI: 10.1136/heartjnl-2017-312489
• Martin, G.P., Mamas, M.A., Peek, N., Buchan, I., Sperrin, M. Clinical Prediction in Defined Populations: a simulation study investigating when and how to aggregate existing models. BMC Med Res Methodol. (2017) DOI: 10.1186/s12874-016-0277-1
• Martin, G.P., Mamas, M.A., Peek, N., Buchan, I., Sperrin, M., A Multiple-Model Generalisation of Updating Clinical Prediction Models. Stats in Medicine. (2017). DOI: 10.1002/sim.7586