Laure Wynants

Statistics and Probability · 2018–2025

A researcher in the Science corpus: 5 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Laure Wynants trusts overall

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

  1. Ewout W. Steyerberg
  2. Karel G. M. Moons
  3. Andrew J. Vickers
  4. B. Van calster
  5. Douglas G. Altman

Who trusts Laure Wynants overall

  1. Reva Schwartz
  2. Davide Brinati

Papers from Laure Wynants's perspective

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

  1. Clinical Prediction Models
  2. Net benefit approaches to the evaluation of prediction models, molecular markers, and diagnostic tests (British medical journal)
  3. A calibration hierarchy for risk models was defined: from utopia to empirical data. (Journal of Clinical Epidemiology)
  4. Screening and prostate cancer mortality: results of the European Randomised Study of Screening for Prostate Cancer (ERSPC) at 13 years of follow-up. (The Lancet)
  5. EAU-ESTRO-SIOG Guidelines on Prostate Cancer. Part 1: Screening, Diagnosis, and Local Treatment with Curative Intent. (European Urology)
  6. Criteria for Evaluation of Novel Markers of Cardiovascular Risk (Circulation)
  7. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries (Ca)
  8. Graphical assessment of internal and external calibration of logistic regression models by using loess smoothers (Statistics in Medicine)
  9. Big Data and Predictive Analytics: Recalibrating Expectations
  10. A novel multiple marker bioassay utilizing HE4 and CA125 for the prediction of ovarian cancer in patients with a pelvic mass. (Gynecologic Oncology)

Their papers