R. Riley

First name
R.
Middle name
D.
Last name
Riley
Nakafero, G., Card, T., Grainge, M. J., Williams, H. C., Taal, M. W., Aithal, G. P., et al. (2023). Risk-stratified monitoring for thiopurine toxicity in immune-mediated inflammatory diseases: prognostic model development, validation, and, health economic evaluation. Eclinicalmedicine, 64, 102213. http://doi.org/10.1016/j.eclinm.2023.102213
Pate, A., Sperrin, M., Riley, R. D., Sergeant, J. C., Van Staa, T., Peek, N., et al. (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
Nakafero, G., Grainge, M. J., Williams, H. C., Card, T., Taal, M. W., Aithal, G. P., et al. (2023). Risk stratified monitoring for methotrexate toxicity in immune mediated inflammatory diseases: prognostic model development and validation using primary care data from the UK. Bmj, 381, e074678. http://doi.org/10.1136/bmj-2022-074678
Koshiaris, C., Archer, L., Lay-Flurrie, S., Snell, K. I., Riley, R. D., Stevens, R., et al. (2023). Predicting the risk of acute kidney injury in primary care: derivation and validation of STRATIFY-AKI. Br J Gen Pract. http://doi.org/10.3399/bjgp.2022.0389
Lee, S. I., Hope, H., O'Reilly, D., Kent, L., Santorelli, G., Subramanian, A., et al. (2023). Maternal and child outcomes for pregnant women with pre-existing multiple long-term conditions: protocol for an observational study in the UK. Bmj Open, 13, e068718. http://doi.org/10.1136/bmjopen-2022-068718
Archer, L., Koshiaris, C., Lay-Flurrie, S., Snell, K. I. E., Riley, R. D., Stevens, R., et al. (2022). Development and external validation of a risk prediction model for falls in patients with an indication for antihypertensive treatment: retrospective cohort study. Bmj, 379, e070918. http://doi.org/10.1136/bmj-2022-070918
Sultan, A. A., West, J., Grainge, M. J., Riley, R. D., Tata, L. J., Stephansson, O., et al. (2016). Development and validation of risk prediction model for venous thromboembolism in postpartum women: multinational cohort study. Bmj. http://doi.org/10.1136/bmj.i6253
Rees, F., Doherty, M., Lanyon, P., Davenport, G., Riley, R. D., Zhang, W., & Grainge, M. J. (2017). Early Clinical Features in Systemic Lupus Erythematosus: Can They Be Used to Achieve Earlier Diagnosis? A Risk Prediction Model. Arthritis Care Res (Hoboken). http://doi.org/10.1002/acr.23021
Yu, D., Jordan, K. P., Snell, K. I. E., Riley, R. D., Bedson, J., Edwards, J. J., et al. (2018). Development and validation of prediction models to estimate risk of primary total hip and knee replacements using data from the UK: two prospective open cohorts using the UK Clinical Practice Research Datalink. Ann Rheum Dis. http://doi.org/10.1136/annrheumdis-2018-213894