Waylon Howard

Statistics and Probability · 2017

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Waylon Howard trusts overall

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

  1. J. Graham
  2. Roderick J. A. Little
  3. Craig K. Enders
  4. Lyle Ungar
  5. Donald B. Rubin
  6. P. Allison
  7. Joseph L. Schafer
  8. James R. Carpenter
  9. Andrew F. Hayes

Papers from Waylon Howard's perspective

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

  1. INFERENCE AND MISSING DATA
  2. Statistical Analysis with Missing Data: Little/Statistical Analysis with Missing Data
  3. Missing data: our view of the state of the art. (Psychological methods)
  4. A comparison of inclusive and restrictive strategies in modern missing data procedures. (Psychological methods)
  5. Adding Missing-Data-Relevant Variables to FIML-Based Structural Equation Models
  6. Missing data
  7. Multiple Imputation and its Application
  8. Modeling longitudinal and multilevel data: Practical issues, applied approaches, and specific examples.
  9. Does Weighting for Nonresponse Increase the Variance of Survey Means
  10. Applied Missing Data Analysis

Their papers