Travis St.Clair

Statistics and Probability · 2016

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Travis St.Clair trusts overall

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

  1. Donald B. Rubin
  2. T. D. Cook
  3. Guido W. Imbens
  4. Jeffrey A. Smith
  5. Juan-José Díaz
  6. R. Lalonde

Who trusts Travis St.Clair overall

  1. James Lopez Bernal
  2. S. Cummins

Papers from Travis St.Clair's perspective

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

  1. Matched Sampling for Causal Effects: Using Multivariate Matched Sampling and Regression Adjustment to Control Bias in Observational Studies
  2. Does Matching Overcome Lalonde's Critique of Nonexperimental Estimators?
  3. Can Propensity-Score Methods Match the Findings from a Random Assignment Evaluation of Mandatory Welfare-to-Work Programs? (Review of Economics and Statistics)
  4. An Assessment of Propensity Score Matching as a Nonexperimental Impact Estimator (The Journal of human resources)
  5. Three conditions under which experiments and observational studies produce comparable causal estimates: New findings from within‐study comparisons
  6. Comment: The Design and Analysis of Gold Standard Randomized Experiments
  7. Statistics and Causal Inference
  8. The central role of the propensity score in observational studies for causal effects
  9. [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
  10. Estimating causal effects of treatments in randomized and nonrandomized studies.

Their papers