Jennifer Yu

Statistics and Probability · 2015–2017

A researcher in the Science corpus: 3 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jennifer Yu trusts overall

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

  1. Patrick Royston
  2. Roderick J. A. Little
  3. Donald B. Rubin
  4. Paul T. von Hippel

Papers from Jennifer Yu's perspective

Ordered by how strongly the researchers Jennifer Yu 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. Statistical Analysis with Missing Data: Little/Statistical Analysis with Missing Data
  3. Multiple imputation using chained equations: Issues and guidance for practice (Statistics in Medicine)
  4. Regression with Missing X's: A Review
  5. Multiple Imputation of Missing Values: Further Update of Ice, with an Emphasis on Categorical Variables
  6. Estimation of Average Treatment Effects Based on Propensity Scores
  7. Some Practical Guidance for the Implementation of Propensity Score Matching (Social Science Research Network)
  8. Transition-Focused Education
  9. Efficient estimation of average treatment effects using the estimated propensity score
  10. Regression with missing Ys: An improved strategy for analyzing multiply imputed data

Their papers