Snell, Kym I E

Systematic review and critical appraisal of prediction models for diagnosis and prognosis of COVID-19 infection

Wynants, L., Van Calster, B., Bonten, M. M., Collins, G. S., Debray, T. P., De Vos, M., Haller, M. C., Heinze, G., Moons, K. G., Riley, R. D., et al. (2020) · BMJ

COVID-19 Clinical Research StudiesStatistical Methods in Epidemiology

Cited by 3,070

Calculating the sample size required for developing a clinical prediction model

Riley, R. D., Ensor, J., Snell, K. I. E., Harrell, F. E., Martin, G. P., Reitsma, J. B., Moons, K. G. M., Collins, G., & van Smeden, M. (2020) · BMJ

Statistical Methods in EpidemiologyMeta-analysis and systematic reviews

Cited by 2,917

Minimum sample size for developing a multivariable prediction model: PART II - binary and time-to-event outcomes

Riley, R. D., Snell, K. I., Ensor, J., Burke, D. L., Harrell Jr, F. E., Moons, K. G., & Collins, G. S. (2019) · Statistics in Medicine

Statistical Methods in EpidemiologyStatistical Methods and Inference

Cited by 1,409

A guide to systematic review and meta-analysis of prediction model performance

Debray, T. P. A., Damen, J. A. A. G., Snell, K. I. E., Ensor, J., Hooft, L., Reitsma, J. B., Riley, R. D., & Moons, K. G. M. (2017) · BMJ

Meta-analysis and systematic reviewsStatistical Methods in Epidemiology

Cited by 657

External validation of clinical prediction models using big datasets from e-health records or IPD meta-analysis: opportunities and challenges

Riley, R. D., Ensor, J., Snell, K. I. E., Debray, T. P. A., Altman, D. G., Moons, K. G. M., & Collins, G. S. (2016) · BMJ

Statistical Methods in EpidemiologyMachine Learning in Healthcare

Cited by 585

Minimum sample size for external validation of a clinical prediction model with a binary outcome

Riley, R. D., Debray, T. P. A., Collins, G. S., Archer, L., Ensor, J., van Smeden, M., & Snell, K. I. E. (2021) · Statistics in Medicine

Statistical Methods in EpidemiologyStatistical Methods in Clinical Trials

Cited by 400

A framework for meta-analysis of prediction model studies with binary and time-to-event outcomes

Debray, T. P., Damen, J. A., Riley, R. D., Snell, K., Reitsma, J. B., Hooft, L., Collins, G. S., & Moons, K. G. (2019) · Statistical Methods in Medical Research

Meta-analysis and systematic reviewsStatistical Methods in Epidemiology

Cited by 278

Minimum sample size for external validation of a clinical prediction model with a continuous outcome

Archer, L., Snell, K. I. E., Ensor, J., Hudda, M. T., Collins, G. S., & Riley, R. D. (2021) · Statistics in Medicine

Statistical Methods in EpidemiologyStatistical Methods in Clinical Trials

Cited by 198

Penalization and shrinkage methods produced unreliable clinical prediction models especially when sample size was small

Riley, R. D., Snell, K. I. E., Martin, G. P., Whittle, R., Archer, L., Sperrin, M., & Collins, G. S. (2021) · Journal of Clinical Epidemiology

Statistical Methods and InferenceStatistical Methods in Epidemiology

Cited by 142

Validation of prediction models in the presence of competing risks: a guide through modern methods

van Geloven, N., Giardiello, D., Bonneville, E. F., Teece, L., Ramspek, C. L., van Smeden, M., Snell, K. I. E., van Calster, B., Pohar-Perme, M., Riley, R. D., et al. (2022) · BMJ

Statistical Methods in EpidemiologyStatistical Methods and Inference

Cited by 106

Systematic review of prognostic models for recurrent venous thromboembolism (VTE) post-treatment of first unprovoked VTE

Ensor, J., Riley, R. D., Moore, D., Snell, K. I. E., Bayliss, S., & Fitzmaurice, D. (2016) · BMJ Open

Venous Thromboembolism Diagnosis and ManagementBlood Coagulation and Thrombosis Mechanisms

Cited by 84