Qing Liu

Causal Inference & Discovery · with Henry · 2016

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Qing Liu trusts overall

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

  1. Donald B. Rubin
  2. James M. Robins
  3. Jennifer L. Hill
  4. Donald P. Green
  5. Hugh A. Chipman
  6. H. Kern
  7. Edward I. George
  8. Guido W. Imbens

Papers from Qing Liu's perspective

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

  1. Bayesian Nonparametric Modeling for Causal Inference
  2. BART: Bayesian Additive Regression Trees
  3. A Simple Method for Detecting Interactions between a Treatment and a Large Number of Covariates
  4. A new approach to causal inference in mortality studies with a sustained exposure period—application to control of the healthy worker survivor effect
  5. [On the Application of Probability Theory to Agricultural Experiments. Essay on Principles. Section 9.] Comment: Neyman (1923) and Causal Inference in Experiments and Observational Studies
  6. Causal Inference Using Potential Outcomes
  7. A Framework for Individualizing Predictions of Disease Trajectories by Exploiting Multi-Resolution Structure
  8. Subgroup identification from randomized clinical trial data
  9. Modeling heterogeneous treatment effects in large-scale experiments using Bayesian Additive Regression Trees
  10. Machine Learning Methods for Estimating Heterogeneous Causal Eects

Their papers