M. Sperrin

First name
M.
Last name
Sperrin
Xu, Z. ., Usher-Smith, J. ., Pennells, L. ., Chung, R. ., Arnold, M. ., Kim, L. ., … Wood, A. M. (2024). Age and sex specific thresholds for risk stratification of cardiovascular disease and clinical decision making: prospective open cohort study. BMJ Med, 3, e000633. http://doi.org/10.1136/bmjmed-2023-000633
Mbizvo, G. K., Martin, G. P., Sperrin, M. ., Bonnett, L. J., Schofield, P. ., Buchan, I. ., … Marson, A. G. (2024). An international study to investigate and optimise the safety of discontinuing valproate in young men and women with epilepsy: Protocol. PLoS One, 19, e0306226. http://doi.org/10.1371/journal.pone.0306226
Morgan, C. ., Ashcroft, D. M., Chew-Graham, C. A., Sperrin, M. ., Webb, R. T., Francis, A. ., … Yung, A. R. (2024). Identifying prior signals of bipolar disorder using primary care electronic health records: a nested case-control study. Br J Gen Pract, 74, e165–73. http://doi.org/10.3399/bjgp.2022.0286
Pate, A. ., Sperrin, M. ., Riley, R. D., Sergeant, J. C., Van Staa, T. ., Peek, N. ., … Martin, G. P. (2023). Developing prediction models to estimate the risk of two survival outcomes both occurring: A comparison of techniques. Stat Med. http://doi.org/10.1002/sim.9771
Sheppard, T. ., Tamblyn, R. ., Abrahamowicz, M. ., Lunt, M. ., Sperrin, M. ., & Dixon, W. G. (2017). A comparison of methods for estimating the temporal change in a continuous variable: Example of HbA1c in patients with diabetes. Pharmacoepidemiol Drug Saf. http://doi.org/10.1002/pds.4273
Pate, A. ., Barrowman, M. ., Webb, D. ., Pimenta, J. M., Davis, K. J., Williams, R. ., … Sperrin, M. . (2018). Study investigating the generalisability of a COPD trial based in primary care (Salford Lung Study) and the presence of a Hawthorne effect. BMJ Open Respir Res. http://doi.org/10.1136/bmjresp-2018-000339
Li, Y. ., Molter, A. ., White, A. ., Welfare, W. ., Palin, V. ., Belmonte, M. ., … van Staa, T. P. (2019). Relationship between prescribing of antibiotics and other medicines in primary care: a cross-sectional study. Br J Gen Pract. http://doi.org/10.3399/bjgp18X700457
Li, Y. ., Sperrin, M. ., Belmonte, M. ., Pate, A. ., Ashcroft, D. M., & van Staa, T. P. (2019). Do population-level risk prediction models that use routinely collected health data reliably predict individual risks?. Sci Rep. http://doi.org/10.1038/s41598-019-47712-5
Li, Y. ., Sperrin, M. ., Martin, G. P., Ashcroft, D. M., & van Staa, T. P. (2020). Examining the impact of data quality and completeness of electronic health records on predictions of patients\textquoteright risks of cardiovascular disease. Int J Med Inform. http://doi.org/10.1016/j.ijmedinf.2019.104033
Pate, A. ., Emsley, R. ., Sperrin, M. ., Martin, G. P., & Van Staa, T. . (2020). Impact of sample size on the stability of risk scores from clinical prediction models: a case study in cardiovascular disease. Diagn Progn Res. http://doi.org/10.1186/s41512-020-00082-3