Avidit Acharya

Statistics and Probability · 2016–2018

A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Avidit Acharya trusts overall

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

  1. Donald B. Rubin
  2. James M. Robins
  3. Kosuke Imai
  4. Teppei Yamamoto
  5. Luke Keele
  6. M. Blackwell
  7. Judea Pearl
  8. Joshua D. Angrist
  9. Paul Holland
  10. Tyler J. VanderWeele

Who trusts Avidit Acharya overall

  1. John V. Kane

Papers from Avidit Acharya's perspective

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

  1. Identification, Inference and Sensitivity Analysis for Causal Mediation Effects
  2. Estimating causal effects of treatments in randomized and nonrandomized studies.
  3. Identification and Sensitivity Analysis for Multiple Causal Mechanisms: Revisiting Evidence from Framing Experiments (Political Analysis)
  4. Experimental designs for identifying causal mechanisms
  5. A new approach to causal inference in mortality studies with a sustained exposure period—application to control of the healthy worker survivor effect
  6. [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
  7. Statistics and Causal Inference
  8. The central role of the propensity score in observational studies for causal effects
  9. A Framework for Dynamic Causal Inference in Political Science
  10. Correcting for non-compliance in randomized trials using structural nested mean models

Their papers