Joseph Lau

Statistics and Probability · 2001–2012

A researcher in the Science corpus: 18 papers; trusts 13 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

Whom Joseph Lau trusts overall

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

  1. Julian P. T. Higgins
  2. W. Viechtbauer
  3. Thorsten Joachims
  4. Leo Breiman
  5. Klaus Brinker
  6. Alan R. Aronson
  7. E. Ford
  8. S. Thompson
  9. Simon Tong
  10. Burr Settles

Who trusts Joseph Lau overall

  1. D. Bikle
  2. V. Basevi
  3. John P. A. Ioannidis
  4. Daniele Fanelli
  5. J. Peters
  6. Linyu Shi
  7. G. Banks
  8. Sven Kepes
  9. D. A. Cook
  10. C. Chrvala

Papers from Joseph Lau's perspective

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

  1. Controlling the risk of spurious findings from meta‐regression (Statistics in Medicine)
  2. The Nature of Statistical Learning Theory
  3. Text Categorization with Support Vector Machines: Learning with Many Relevant Features
  4. Bagging Predictors
  5. Quantifying heterogeneity in a meta‐analysis (Statistics in Medicine)
  6. Systematic Review of the Empirical Evidence of Study Publication Bias and Outcome Reporting Bias (PLoS ONE)
  7. Support Vector Machine Active Learning with Applications to Text Classification
  8. A sequential algorithm for training text classifiers
  9. The appropriateness of asymmetry tests for publication bias in meta-analyses: a large survey (Canadian Medical Association Journal)
  10. Are the clinical effects of homoeopathy placebo effects? Comparative study of placebo-controlled trials of homoeopathy and allopathy. (The Lancet)

Their papers