Brian K. Lee

Statistics and Probability · with Leacy · 2013

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Brian K. Lee trusts overall

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

  1. Ben B. Hansen
  2. Donald B. Rubin
  3. Thomas Lumley
  4. Peter C. Austin
  5. Daniel E. Ho
  6. M. Alan Brookhart
  7. Sebastian Schneeweiss
  8. Kosuke Imai
  9. Paul R. Rosenbaum

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.

  1. The central role of the propensity score in observational studies for causal effects
  2. Combining Propensity Score Matching with Additional Adjustments for Prognostic Covariates
  3. MatchIt: Nonparametric Preprocessing for Parametric Causal Inference
  4. The prognostic analogue of the propensity score
  5. Optimal Full Matching and Related Designs via Network Flows
  6. Variable selection for propensity score models.
  7. A comparison of the ability of different propensity score models to balance measured variables between treated and untreated subjects: a Monte Carlo study (Statistics in Medicine)
  8. Analysis of Complex Survey Samples
  9. Matching using estimated propensity scores: relating theory to practice.
  10. Full Matching in an Observational Study of Coaching for the SAT

Their papers