John G. Bullock

Statistics and Probability · 2010–2019

A researcher in the Science corpus: 4 papers; trusts 5 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom John G. Bullock trusts overall

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

  1. Joshua D. Angrist
  2. Dominique Muller
  3. Donald B. Rubin
  4. Guido W. Imbens
  5. C. Judd
  6. Andrew Gelman
  7. R. Lalonde

Who trusts John G. Bullock overall

  1. Harald Schoen
  2. Kosuke Imai
  3. Rex Bryan Kline
  4. M. Steinbrecher
  5. Rik Pieters
  6. Brendan Nyhan
  7. Bonnie Simpson
  8. Teppei Yamamoto
  9. Gordon Pennycook
  10. Judea Pearl

Papers from John G. Bullock's perspective

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

  1. Statistics and Causal Inference
  2. [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
  3. A comparison of methods to test mediation and other intervening variable effects. (Psychological methods)
  4. Estimating causal effects of treatments in randomized and nonrandomized studies.
  5. Mediation in experimental and nonexperimental studies: new procedures and recommendations. (Psychological methods)
  6. The central role of the propensity score in observational studies for causal effects
  7. Observational Studies
  8. A new design for randomized clinical trials.
  9. Identification of Causal effects Using Instrumental Variables
  10. Mediators and moderators of treatment effects in randomized clinical trials. (Archives of General Psychiatry)

Their papers