Kym I. E. Snell
Statistics and Probability · 2016–2020
A researcher in the Science corpus: 5 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 85 citations into it
- Artificial Intelligence — 33 citations into it
- Epidemiology — 29 citations into it
Whom Kym I. E. Snell trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ewout W. Steyerberg
- Karel G. M. Moons
- Patrick Royston
- Douglas G. Altman
- R. Riley
- H. V. van Houwelingen
- Julia Hippisley-Cox
- Y. Vergouwe
- T. van der Ploeg
- Gary S. Collins
Papers from Kym I. E. Snell's perspective
Ordered by how strongly the researchers Kym I. E. Snell trusts endorse each paper. Same corpus, a different order for every researcher.
- Updating methods improved the performance of a clinical prediction model in new patients. (Journal of Clinical Epidemiology)
- Value of assessment of pretest probability of deep-vein thrombosis in clinical management.
- Modern modelling techniques are data hungry: a simulation study for predicting dichotomous endpoints (BMC Medical Research Methodology)
- Relaxing the rule of ten events per variable in logistic and Cox regression. (American Journal of Epidemiology)
- Predicting cardiovascular risk in England and Wales: prospective derivation and validation of QRISK2 (British medical journal)
- Interpretation of random effects meta-analyses (British medical journal)
- Preferred Reporting Items for Systematic Review and Meta-Analyses of individual participant data: the PRISMA-IPD Statement. (Journal of the American Medical Association (JAMA))
- REporting recommendations for tumour MARKer prognostic studies (REMARK) (British Journal of Cancer)
- Bootstrap Methods: Another Look at the Jackknife
- Bootstrap Methods: Another Look at the Jackknife
Their papers
- Calculating the sample size required for developing a clinical prediction model (2020) — 2,194 citations
- External validation of clinical prediction models using big datasets from e-health records or IPD meta-analysis: opportunities and challenges (2016) — 510 citations
- Minimum sample size for developing a multivariable prediction model: PART II ‐ binary and time‐to‐event outcomes (2018) — 1,038 citations
- Prediction models for diagnosis and prognosis of covid-19: systematic review and critical appraisal (2020) — 2,435 citations
- A guide to systematic review and meta-analysis of prognostic factor studies (2019) — 656 citations