M. Resa

Statistics and Probability · 2016

A researcher in the Science corpus: 1 paper; trusts 16 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom M. Resa trusts overall

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

  1. Paul R. Rosenbaum
  2. José R. Zubizarreta
  3. Guido W. Imbens
  4. Elizabeth A. Stuart
  5. Peter C. Austin
  6. Donald B. Rubin
  7. Ben B. Hansen
  8. Brian K. Lee
  9. Ruth Heller
  10. Richard K. Crump

Who trusts M. Resa overall

  1. Harsh Parikh
  2. Cynthia Rudin
  3. Marco Morucci
  4. Alexander Volfovsky
  5. Sudeepa Roy
  6. Vittorio Orlandi

Papers from M. Resa's perspective

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

  1. Design Of Observational Studies
  2. Observational Studies
  3. Matching methods for causal inference: A review and a look forward
  4. The central role of the propensity score in observational studies for causal effects
  5. Moving the Goalposts: Addressing Limited Overlap in Estimation of Average Treatment Effects by Changing the Estimand
  6. Split Samples and Design Sensitivity in Observational Studies
  7. Network Flows: Theory, Algorithms, and Applications
  8. For objective causal inference, design trumps analysis
  9. Validating recommendations for coronary angiography following acute myocardial infarction in the elderly: a matched analysis using propensity scores. (Journal of Clinical Epidemiology)
  10. Journal of the American Statistical Association Using Mixed Integer Programming for Matching in an Observational Study of Kidney Failure after Surgery Using Mixed Integer Programming for Matching in…

Their papers