Chad Hazlett

Statistics and Probability · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 12 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Chad Hazlett trusts overall

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

  1. Guido W. Imbens
  2. Paul R. Rosenbaum
  3. Donald B. Rubin
  4. Keisuke Hirano
  5. Kosuke Imai
  6. Zhiqiang Tan
  7. José R. Zubizarreta
  8. James M. Robins
  9. Joshua D. Angrist
  10. Qingyuan Zhao

Who trusts Chad Hazlett overall

  1. Stefan Tubbicke
  2. Jacob Dorn
  3. Liuyi Yao
  4. Kevin Guo

Papers from Chad Hazlett's perspective

Ordered by how strongly the researchers Chad Hazlett 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. Efficient estimation of average treatment effects using the estimated propensity score
  3. Globally efficient non-parametric inference of average treatment effects by empirical balancing calibration weighting
  4. The Role of the Propensity Score in Estimating Dose-Response Functions
  5. Matching methods for causal inference: A review and a look forward
  6. Stable Weights that Balance Covariates for Estimation With Incomplete Outcome Data
  7. On the Application of Probability Theory to Agricultural Experiments. Essay on Principles. Section 9
  8. Demystifying Double Robustness: A Comparison of Alternative Strategies for Estimating a Population Mean from Incomplete Data
  9. Bounded, efficient and doubly robust estimation with inverse weighting
  10. Covariate balancing propensity score

Their papers