C. Boyd

Statistics and Probability · with Epstein · 2010

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom C. Boyd trusts overall

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

  1. Daniel E. Ho
  2. Kosuke Imai
  3. Cass R. Sunstein
  4. Donald B. Rubin
  5. Gary King
  6. D. Schkade
  7. C. Gilligan
  8. Elizabeth A. Stuart
  9. Paul Holland

Papers from C. Boyd's perspective

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

  1. Matching as Nonparametric Preprocessing for Reducing Model Dependence in Parametric Causal Inference (Political Analysis)
  2. MatchIt: Nonparametric Preprocessing for Parametric Causal Inference
  3. Ideological Voting on Federal Courts of Appeals: A Preliminary Investigation
  4. Observational Studies
  5. The central role of the propensity score in observational studies for causal effects
  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. Longitudinal Analysis of Labor Market Data.
  9. Do Get-Out-the-Vote Calls Reduce Turnout? The Importance of Statistical Methods for Field Experiments
  10. Full Matching in an Observational Study of Coaching for the SAT

Their papers