S. McGrath

Statistics and Probability · with Benedetti · 2019

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

Subfields

Whom S. McGrath trusts overall

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

  1. Julian P. T. Higgins
  2. Xiang Wan
  3. Dean Langan
  4. S. Thompson
  5. Wenqian Wang

Papers from S. McGrath's perspective

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

  1. Quantifying heterogeneity in a meta‐analysis (Statistics in Medicine)
  2. Estimating the sample mean and standard deviation from the sample size, median, range and/or interquartile range (BMC Medical Research Methodology)
  3. A comparison of heterogeneity variance estimators in simulated random‐effects meta‐analyses (Research Synthesis Methods)
  4. Random-effects model for meta-analysis of clinical trials: an update. (Contemporary Clinical Trials)
  5. How vague is vague? A simulation study of the impact of the use of vague prior distributions in MCMC using WinBUGS
  6. Predicting the extent of heterogeneity in meta-analysis, using empirical data from the Cochrane Database of Systematic Reviews (International Journal of Epidemiology)
  7. Prior distributions for variance parameters in hierarchical models (comment on article by Browne and Draper)
  8. Improved tests for a random effects meta‐regression with a single covariate (Statistics in Medicine)
  9. Statistical Methods for Meta‐Analysis
  10. Estimating heterogeneity variance in meta‐analysis

Their papers