F. Zhai

Statistics and Probability · with Blair · 2011

A researcher in the Science corpus: 2 papers; trusts 17 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom F. Zhai trusts overall

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

  1. Donald B. Rubin
  2. Andrew Gelman
  3. Elizabeth A. Stuart
  4. Jennifer L. Hill
  5. Michael P. Jones
  6. Peter C. Austin
  7. Ben B. Hansen
  8. Daniel F McCaffrey

Who trusts F. Zhai overall

  1. A. Diamond
  2. Jennifer L. Hill

Papers from F. Zhai's perspective

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

  1. The central role of the propensity score in observational studies for causal effects
  2. Combining Propensity Score Matching with Additional Adjustments for Prognostic Covariates
  3. Matched Sampling for Causal Effects: The Use of Matched Sampling and Regression Adjustment to Remove Bias in Observational Studies
  4. Large Sample Properties of Matching Estimators for Average Treatment Effects
  5. Bayesian Nonparametric Modeling for Causal Inference
  6. Matched Sampling for Causal Effects: Using Multivariate Matched Sampling and Regression Adjustment to Control Bias in Observational Studies
  7. Propensity score estimation with boosted regression for evaluating causal effects in observational studies.
  8. Matching methods for causal inference: A review and a look forward
  9. Results of multivariable logistic regression, propensity matching, propensity adjustment, and propensity-based weighting under conditions of nonuniform effect. (American Journal of Epidemiology)
  10. Toward a curse of dimensionality appropriate (CODA) asymptotic theory for semi-parametric models.

Their papers