Daniel Percival

Statistics and Probability · 2015

A researcher in the Science corpus: 1 paper; trusts 24 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Daniel Percival trusts overall

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

  1. James M. Robins
  2. Zhiqiang Tan
  3. Donald B. Rubin
  4. Jens Hainmueller
  5. Paul R. Rosenbaum
  6. Kosuke Imai
  7. Joseph Kang
  8. H. Bang
  9. J. Lunceford
  10. Leonard A. Stefanski

Who trusts Daniel Percival overall

  1. José R. Zubizarreta
  2. Qingyuan Zhao
  3. Yixin Wang
  4. Shu Yang
  5. Peng Ding
  6. Nathan Kallus

Papers from Daniel Percival's perspective

Ordered by how strongly the researchers Daniel Percival 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. Statistics and Causal Inference
  3. Estimating causal effects of treatments in randomized and nonrandomized studies.
  4. Efficient estimation of average treatment effects using the estimated propensity score
  5. Estimation of Regression Coefficients When Some Regressors are not Always Observed
  6. Globally efficient non-parametric inference of average treatment effects by empirical balancing calibration weighting
  7. On the Role of the Propensity Score in Efficient Semiparametric Estimation of Average Treatment Effects
  8. Doubly Robust Estimation in Missing Data and Causal Inference Models
  9. Stratification and weighting via the propensity score in estimation of causal treatment effects: a comparative study
  10. Stable Weights that Balance Covariates for Estimation With Incomplete Outcome Data

Their papers