S. Buecker

Statistics and Probability · 2020

A researcher in the Science corpus: 2 papers; trusts 19 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom S. Buecker trusts overall

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

  1. W. Viechtbauer
  2. E. Tanner‐Smith
  3. Mike W.-L. Cheung
  4. Elizabeth Tipton
  5. Julian P. T. Higgins
  6. H. Cooper
  7. T. Stanley
  8. Gilles E. Gignac
  9. L. Hedges
  10. Stephen Raudenbush

Papers from S. Buecker's perspective

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

  1. Conducting Meta-Analyses in R with the metafor Package
  2. Quantifying heterogeneity in a meta‐analysis (Statistics in Medicine)
  3. Analyzing effect sizes: Random-effects models.
  4. Trim and Fill: A Simple Funnel‐Plot–Based Method of Testing and Adjusting for Publication Bias in Meta‐Analysis (Biometrics)
  5. The Handbook of Research Synthesis and Meta-Analysis
  6. Robust variance estimation with dependent effect sizes: practical considerations including a software tutorial in Stata and spss (Research Synthesis Methods)
  7. A Nonparametric “Trim and Fill” Method of Accounting for Publication Bias in Meta-Analysis
  8. Introduction to Meta‐Analysis (International Coaching Psychology Review)
  9. Small sample adjustments for robust variance estimation with meta-regression. (Psychological methods)
  10. Statistical Methods for Meta‐Analysis

Their papers