Brian K. Lee
Statistics and Probability · with Lessler · 2010
A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 14 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 18 citations into it; #3,430 of 12,932 by trust here, #3,513 by citations
Whom Brian K. Lee trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Donald B. Rubin
- James Franklin
- Elizabeth A. Stuart
- Keisuke Hirano
- H. Bang
- Leo Breiman
- Daniel F McCaffrey
- Jane Elith
- James M. Robins
- Guido W. Imbens
Who trusts Brian K. Lee overall
- José R. Zubizarreta
- Peter C. Austin
- Qingyuan Zhao
- Shu Yang
- M. Resa
- A. Diamond
- Anjalie Field
- Tammy Jiang
- Daniel F McCaffrey
- Elizabeth A. Stuart
Papers from Brian K. Lee's perspective
Ordered by how strongly the researchers Brian K. Lee trusts endorse each paper. Same corpus, a different order for every researcher.
- The central role of the propensity score in observational studies for causal effects
- Combining Propensity Score Matching with Additional Adjustments for Prognostic Covariates
- Doubly Robust Estimation in Missing Data and Causal Inference Models
- Estimation of Causal Effects using Propensity Score Weighting: An Application to Data on Right Heart Catheterization (Health Services & Outcomes Research Methodology)
- Using Propensity Scores to Help Design Observational Studies: Application to the Tobacco Litigation
- Stratification and weighting via the propensity score in estimation of causal treatment effects: a comparative study
- Propensity score estimation with boosted regression for evaluating causal effects in observational studies.
- Classification and regression trees
- Statistics and Causal Inference
- Matching as Nonparametric Preprocessing for Reducing Model Dependence in Parametric Causal Inference (Political Analysis)
Their papers
- Improving propensity score weighting using machine learning (2010) — 924 citations