R. Willke

Statistics and Probability · 2005–2015

A researcher in the Science corpus: 3 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom R. Willke trusts overall

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

  1. Vladimir Naumovich Vapni
  2. Julian P. T. Higgins
  3. Gitta H. Lubke
  4. Richard L. Tweedie
  5. S. Thompson
  6. B. Muthén
  7. Myoung‐jae Lee

Papers from R. Willke's perspective

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

  1. Trim and Fill: A Simple Funnel‐Plot–Based Method of Testing and Adjusting for Publication Bias in Meta‐Analysis (Biometrics)
  2. Quantifying heterogeneity in a meta‐analysis (Statistics in Medicine)
  3. Investigating population heterogeneity with factor mixture models. (Psychological methods)
  4. Representing uncertainty: the role of cost-effectiveness acceptability curves. (Health Economics)
  5. Cost-effectiveness in health and medicine
  6. Good research practices for cost-effectiveness analysis alongside clinical trials: the ISPOR RCT-CEA Task Force report. (Value in Health)
  7. The Nature of Statistical Learning Theory
  8. Neural Networks for Pattern Recognition
  9. A Nonparametric “Trim and Fill” Method of Accounting for Publication Bias in Meta-Analysis
  10. Statistics in medicine--reporting of subgroup analyses in clinical trials.

Their papers