Michelle E Ross

Statistics and Probability · 2015

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Michelle E Ross trusts overall

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

  1. Donald B. Rubin
  2. Peter C. Austin
  3. J. Lunceford
  4. Jeffrey A. Smith
  5. Daniel E. Ho
  6. G. Danaei
  7. Petra E. Todd
  8. Marie Davidian
  9. Ben B. Hansen
  10. Kosuke Imai

Who trusts Michelle E Ross overall

  1. Sudeepa Roy
  2. Cynthia Rudin
  3. Harsh Parikh
  4. Alexander Volfovsky

Papers from Michelle E Ross's perspective

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

  1. Full Matching in an Observational Study of Coaching for the SAT
  2. The design versus the analysis of observational studies for causal effects: parallels with the design of randomized trials
  3. MatchIt: Nonparametric Preprocessing for Parametric Causal Inference
  4. Observational data for comparative effectiveness research: an emulation of randomised trials to estimate the effect of statins on primary prevention of coronary heart disease
  5. Stratification and weighting via the propensity score in estimation of causal treatment effects: a comparative study
  6. Regression Methods in Biostatistics: Linear, Logistic, Survival and Repeated Measures Models (Technometrics)
  7. The use of propensity score methods with survival or time-to-event outcomes: reporting measures of effect similar to those used in randomized experiments (Statistics in Medicine)
  8. Does Matching Overcome Lalonde's Critique of Nonexperimental Estimators?
  9. The central role of the propensity score in observational studies for causal effects
  10. Observational Studies

Their papers