G. Lonjon

Statistics and Probability · 2019

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

Whom G. Lonjon trusts overall

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

  1. Peter C. Austin
  2. Elizabeth A. Stuart
  3. Ben B. Hansen

Papers from G. Lonjon's perspective

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

  1. Matching methods for causal inference: A review and a look forward
  2. Misunderstandings between experimentalists and observationalists about causal inference
  3. The prognostic analogue of the propensity score
  4. Balance diagnostics for comparing the distribution of baseline covariates between treatment groups in propensity-score matched samples (Statistics in Medicine)
  5. Improving propensity score weighting using machine learning (Statistics in Medicine)
  6. Propensity score estimation: machine learning and classification methods as alternatives to logistic regression
  7. Prognostic score–based balance measures for propensity score methods in comparative effectiveness research (Journal of Clinical Epidemiology)
  8. The central role of the propensity score in observational studies for causal effects
  9. Matching as Nonparametric Preprocessing for Reducing Model Dependence in Parametric Causal Inference (Political Analysis)
  10. Observational Studies

Their papers