Natalya Verbitsky-Savitz

Statistics and Probability · 2012

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 Natalya Verbitsky-Savitz trusts overall

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

  1. Peter Z. Schochet
  2. W. Shadish
  3. T. D. Cook
  4. Donald B. Rubin
  5. Jesse M. Rothstein
  6. Steven D. Levitt
  7. P. Gleason

Papers from Natalya Verbitsky-Savitz's perspective

Ordered by how strongly the researchers Natalya Verbitsky-Savitz 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. Identification of Causal effects Using Instrumental Variables
  3. Nonexperimental Versus Experimental Estimates of Earnings Impacts
  4. Does Matching Overcome Lalonde's Critique of Nonexperimental Estimators?
  5. Can Nonrandomized Experiments Yield Accurate Answers? A Randomized Experiment Comparing Random and Nonrandom Assignments
  6. Is regression adjustment supported by the Neyman model for causal inference
  7. Three conditions under which experiments and observational studies produce comparable causal estimates: New findings from within‐study comparisons
  8. Causal effects in clinical and epidemiological studies via potential outcomes: concepts and analytical approaches. (Annual Review of Public Health)
  9. Does Competition Among Public Schools Benefit Students and Taxpayers? A Comment on Hoxby (2000)
  10. Performance Trajectories and Performance Gaps as Achievement Effect-Size Benchmarks for Educational Interventions

Their papers