J. Middleton

Statistics and Probability · with Aronow · 2013–2015

A researcher in the Science corpus: 2 papers; trusts 14 researchers and is trusted by 17 researchers here, as inferred from the citation graph.

Subfields

Whom J. Middleton trusts overall

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

  1. David Freedman
  2. Donald B. Rubin
  3. Peter Z. Schochet
  4. P. M. Aronow
  5. Cyrus Samii
  6. Donald P. Green
  7. Kosuke Imai
  8. Paul R. Rosenbaum
  9. W. Lin
  10. A. Young

Who trusts J. Middleton overall

  1. Peng Ding
  2. P. M. Aronow
  3. David E. Broockman
  4. Luke W. Miratrix
  5. Xinran Li
  6. Donald P. Green
  7. Steven R. Howard
  8. Avi Feller
  9. Stefan Wager
  10. Jason A. Wu

Papers from J. Middleton's perspective

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

  1. Estimating causal effects of treatments in randomized and nonrandomized studies.
  2. On regression adjustments to experimental data
  3. [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
  4. The Design of Experiments
  5. Statistical Models and Causal Inference: Randomization Does Not Justify Logistic Regression
  6. Association, Causation, And Marginal Structural Models
  7. Agnostic notes on regression adjustments to experimental data: Reexamining Freedman's critique
  8. Is regression adjustment supported by the Neyman model for causal inference
  9. Statistics and Causal Inference
  10. Bayesian Inference for Causal Effects: The Role of Randomization

Their papers