David A. van Dyk

Statistics and Probability · 2004–2009

A researcher in the Science corpus: 2 papers; trusts 22 researchers and is trusted by 29 researchers here, as inferred from the citation graph.

Subfields

Whom David A. van Dyk trusts overall

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

  1. Donald B. Rubin
  2. Guido W. Imbens
  3. Paul R. Rosenbaum
  4. Paul Holland
  5. Peter J. Green
  6. Kosuke Imai
  7. Joshua D. Angrist
  8. Simon N. Wood
  9. James M. Robins
  10. Andrew Gelman

Who trusts David A. van Dyk overall

  1. Kosuke Imai
  2. Pablo A. Acosta
  3. Christoph Rothe
  4. Richard Correnti
  5. Ioana Bica
  6. M. D. Cattaneo
  7. Daniel E. Ho
  8. Yixin Wang
  9. Antonio F. Galvao
  10. W. Shadish

Papers from David A. van Dyk's perspective

Ordered by how strongly the researchers David A. van Dyk trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Statistics and Causal Inference
  2. The central role of the propensity score in observational studies for causal effects
  3. Split-Sample Instrumental Variables Estimates of the Return to Schooling
  4. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
  5. Do Get-Out-the-Vote Calls Reduce Turnout? The Importance of Statistical Methods for Field Experiments
  6. Inference from Iterative Simulation Using Multiple Sequences
  7. Combining Propensity Score Matching with Additional Adjustments for Prognostic Covariates
  8. Identification of Causal effects Using Instrumental Variables
  9. Efficient estimation of average treatment effects using the estimated propensity score
  10. [On the Application of Probability Theory to Agricultural Experiments. Essay on Principles. Section 9.] Comment: Neyman (1923) and Causal Inference in Experiments and Observational Studies

Their papers