Jason A. Roy

Statistics and Probability · 2002–2017

A researcher in the Science corpus: 5 papers; trusts 22 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Jason A. Roy trusts overall

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

  1. James M. Robins
  2. Jeroen K. Vermunt
  3. Donald B. Rubin
  4. Jennifer L. Hill
  5. Arthur P. Dempster
  6. Hemant Ishwaran
  7. James O. Berger
  8. Joseph Kang
  9. Robert B. Gramacy
  10. Miguel A. Hern'an

Who trusts Jason A. Roy overall

  1. Ioana Bica
  2. Ahmed M. Alaa
  3. Jianguo Sun
  4. Riccardo Miotto
  5. Liuquan Sun
  6. Mihaela van der Schaar

Papers from Jason A. Roy's perspective

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

  1. INFERENCE AND MISSING DATA
  2. Marginal Structural Models versus Structural nested Models as Tools for Causal inference
  3. Adjusting for Nonignorable Drop-Out Using Semiparametric Nonresponse Models
  4. Confounding and Collapsibility in Causal Inference
  5. Demystifying Double Robustness: A Comparison of Alternative Strategies for Estimating a Population Mean from Incomplete Data
  6. Marginal Structural Models and Causal Inference in Epidemiology
  7. Regression with Missing X's: A Review
  8. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
  9. A new approach to causal inference in mortality studies with a sustained exposure period—application to control of the healthy worker survivor effect
  10. The central role of the propensity score in observational studies for causal effects

Their papers