J. Nicholson

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 J. Nicholson 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. P. Allison
  6. Donald B. Rubin
  7. Joseph L. Schafer
  8. James R. Carpenter
  9. Andrew F. Hayes
  10. Michael G. Kenward

Papers from J. Nicholson's perspective

Ordered by how strongly the researchers J. Nicholson 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. Analysis of Incomplete Multivariate Data (Technometrics)
  6. Missing data
  7. Adding Missing-Data-Relevant Variables to FIML-Based Structural Equation Models
  8. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
  9. Multiple Imputation and its Application
  10. Modeling longitudinal and multilevel data: Practical issues, applied approaches, and specific examples.

Their papers