Jennifer Todd

Statistics and Probability · 2008

A researcher in the Science corpus: 2 papers; trusts 12 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Jennifer Todd trusts overall

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

  1. Donald B. Rubin
  2. Guido W. Imbens
  3. James J. Heckman
  4. Jennie E. Brand
  5. Roderick J. A. Little
  6. Daniel F McCaffrey
  7. Joshua D. Angrist
  8. Paul R. Rosenbaum
  9. C. Halaby

Who trusts Jennifer Todd overall

  1. Peter C. Austin
  2. Benjamin Cornwell
  3. Ruocheng Guo

Papers from Jennifer Todd's perspective

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

  1. Longitudinal Analysis of Labor Market Data.
  2. Statistical Analysis with Missing Data: Little/Statistical Analysis with Missing Data
  3. The Role of the Propensity Score in Estimating Dose-Response Functions
  4. Unified Methods for Censored Longitudinal Data and Causality
  5. Propensity score estimation with boosted regression for evaluating causal effects in observational studies.
  6. Causal Inference in the Social Sciences
  7. Understanding Instrumental Variables in Models with Essential Heterogeneity (Review of Economics and Statistics)
  8. Residential mobility and opportunities: Early impacts of the moving to opportunity demonstration program in Chicago
  9. Causal Inference Using Potential Outcomes
  10. Matched Sampling for Causal Effects: Matching to Remove Bias in Observational Studies

Their papers