Patrick Labelle

Modeling and Simulation · 2020

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Patrick Labelle trusts

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

  1. W. Viechtbauer (in Statistics and Probability)
  2. Martin Zeiner (in Applied Mathematics)

Papers from Patrick Labelle's perspective

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

  1. The psychological impact of the COVID-19 epidemic on college students in China (Psychiatry Research)
  2. Convergence properties of the q-deformed binomial distribution
  3. Conducting Meta-Analyses in R with the metafor Package
  4. The socio-economic implications of the coronavirus pandemic (COVID-19): A review (International Journal of Surgery)
  5. How vague is vague? A simulation study of the impact of the use of vague prior distributions in MCMC using WinBUGS
  6. Advanced methods in meta‐analysis: multivariate approach and meta‐regression (Statistics in Medicine)
  7. Random-effects model for meta-analysis of clinical trials: an update. (Contemporary Clinical Trials)
  8. Controlling the risk of spurious findings from meta‐regression (Statistics in Medicine)
  9. Publication bias in meta-analysis: Prevention, assessment and adjustments (Psychometrika)
  10. What to add to nothing? Use and avoidance of continuity corrections in meta-analysis of sparse data. (Statistics in Medicine)

Their papers