Lane Burgette
Statistics and Probability · 2013
A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 20 citations into it
Whom Lane Burgette trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Lane Burgette's perspective
Ordered by how strongly the researchers Lane Burgette trusts endorse each paper. Same corpus, a different order for every researcher.
- Statistics and Causal Inference
- Estimating causal effects of treatments in randomized and nonrandomized studies.
- Propensity score estimation with boosted regression for evaluating causal effects in observational studies.
- The Role of the Propensity Score in Estimating Dose-Response Functions
- 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
- Matching as Nonparametric Preprocessing for Reducing Model Dependence in Parametric Causal Inference (Political Analysis)
- Classification and regression trees
- Demystifying Double Robustness: A Comparison of Alternative Strategies for Estimating a Population Mean from Incomplete Data
- Econometric Analysis of Cross Section and Panel Data
Their papers
- A Tutorial on Propensity Score Estimation for Multiple Treatments Using Generalized Boosted Models (2013) — 1,347 citations