J. Ensor

Statistics and Probability · 2016–2020

A researcher in the Science corpus: 5 papers; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom J. Ensor trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. R. Riley
  2. Ewout W. Steyerberg
  3. Karel G. M. Moons
  4. Douglas G. Altman
  5. W. Viechtbauer
  6. Patrick Royston
  7. R. Dersimonian
  8. Y. Vergouwe
  9. Dan Jackson
  10. Gary S. Collins

Papers from J. Ensor's perspective

Ordered by how strongly the researchers J. Ensor trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Updating methods improved the performance of a clinical prediction model in new patients. (Journal of Clinical Epidemiology)
  2. Value of assessment of pretest probability of deep-vein thrombosis in clinical management.
  3. Interpretation of random effects meta-analyses (British medical journal)
  4. Random-effects model for meta-analysis of clinical trials: an update. (Contemporary Clinical Trials)
  5. Modern modelling techniques are data hungry: a simulation study for predicting dichotomous endpoints (BMC Medical Research Methodology)
  6. Multivariate meta-analysis: Potential and promise (Statistics in Medicine)
  7. Preferred Reporting Items for Systematic Review and Meta-Analyses of individual participant data: the PRISMA-IPD Statement. (Journal of the American Medical Association (JAMA))
  8. The Hartung-Knapp-Sidik-Jonkman method for random effects meta-analysis is straightforward and considerably outperforms the standard DerSimonian-Laird method (BMC Medical Research Methodology)
  9. Improved tests for a random effects meta‐regression with a single covariate (Statistics in Medicine)
  10. Metaan: Random-effects Meta-analysis

Their papers