M. Azur

Statistics and Probability · 2011

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 M. Azur trusts overall

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

  1. Joseph L. Schafer
  2. S. van Buuren
  3. Patrick Royston
  4. J. Graham
  5. Trivellore E. Raghunathan
  6. Linda M. Collins
  7. John Van Hoewyk
  8. N. Schenker
  9. James M. Lepkowski
  10. Donald B. Rubin

Who trusts M. Azur overall

  1. Yuan Luo
  2. Alfredo Nazábal
  3. Y. Liu
  4. Wei Cao
  5. Peter Szolovits
  6. Pablo M. Olmos
  7. Yuanjia Wang

Papers from M. Azur's perspective

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

  1. A multivariate technique for multiply imputing missing values using a sequence of regression models
  2. IVEware: Imputation and Variance Estimation Software User Guide
  3. A comparison of inclusive and restrictive strategies in modern missing data procedures. (Psychological methods)
  4. INFERENCE AND MISSING DATA
  5. Missing data: our view of the state of the art. (Psychological methods)
  6. Multiple imputation: a primer
  7. How Many Imputations are Really Needed? Some Practical Clarifications of Multiple Imputation Theory (Prevention Science)
  8. SPECIAL SERIES: ORIGINAL ARTICLES Using the outcome for imputation of missing predictor values was preferred
  9. Multiple imputation of discrete and continuous data by fully conditional specification
  10. Analysis of Incomplete Multivariate Data (Technometrics)

Their papers