N. Chesnaye

Statistics and Probability · 2018–2021

A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom N. Chesnaye trusts overall

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

  1. Peter C. Austin
  2. Donald B. Rubin
  3. Fan Li
  4. James M. Robins
  5. Sebastian Schneeweiss
  6. Elizabeth A. Stuart
  7. Miguel A. Hern'an
  8. Laine E. Thomas
  9. Paul R. Rosenbaum

Papers from N. Chesnaye's perspective

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

  1. Constructing inverse probability weights for marginal structural models. (American Journal of Epidemiology)
  2. Estimating causal effects of treatments in randomized and nonrandomized studies.
  3. Marginal structural models to estimate the causal effect of zidovudine on the survival of HIV-positive men.
  4. Balance diagnostics for comparing the distribution of baseline covariates between treatment groups in propensity-score matched samples (Statistics in Medicine)
  5. A new approach to causal inference in mortality studies with a sustained exposure period—application to control of the healthy worker survivor effect
  6. Variable selection for propensity score models.
  7. The central role of the propensity score in observational studies for causal effects
  8. Moving towards best practice when using inverse probability of treatment weighting (IPTW) using the propensity score to estimate causal treatment effects in observational studies
  9. High-dimensional propensity score adjustment in studies of treatment effects using health care claims data
  10. Addressing Extreme Propensity Scores via the Overlap Weights (American Journal of Epidemiology)

Their papers