Joost R. van Ginkel

Statistics and Probability · with Steele · 2016–2019

A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Joost R. van Ginkel trusts overall

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

  1. S. van Buuren
  2. Yang Yuan
  3. Joseph L. Schafer
  4. Donald B. Rubin
  5. Irini Moustaki
  6. J. Graham
  7. Karin G. M. Groothuis-Oudshoorn
  8. Paul T. von Hippel
  9. L. A. Goodman
  10. Roderick J. A. Little

Papers from Joost R. van Ginkel's perspective

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

  1. INFERENCE AND MISSING DATA
  2. Statistical Analysis with Missing Data: Little/Statistical Analysis with Missing Data
  3. Analysis of Incomplete Multivariate Data (Technometrics)
  4. How Many Imputations are Really Needed? Some Practical Clarifications of Multiple Imputation Theory (Prevention Science)
  5. Multiple Imputation for Missing Data: Concepts and New Development
  6. Missing data: our view of the state of the art. (Psychological methods)
  7. Exploratory latent structure analysis using both identifiable and unidentifiable models
  8. Missing data
  9. Regression with missing Ys: An improved strategy for analyzing multiply imputed data
  10. The Genetic and Environmental Origins of Learning Abilities and Disabilities in the Early School

Their papers