Michael G. Kenward

Statistics and Probability · 2001–2019

A researcher in the Science corpus: 20 papers; trusts 28 researchers and is trusted by 55 researchers here, as inferred from the citation graph.

Subfields

Whom Michael G. Kenward trusts overall

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

  1. James M. Robins
  2. Donald B. Rubin
  3. Andrea Rotnitzky
  4. David Ruppert
  5. Whitney K. Newey
  6. Geert Molenberghs
  7. Subir Ghosh
  8. Joseph L. Schafer
  9. James R. Carpenter
  10. Matt P. Wand

Who trusts Michael G. Kenward overall

  1. Daniel M. McNeish
  2. Walter W. Stroup
  3. Antonio Gasparrini
  4. S. Grund
  5. Mark L. Bryan
  6. Geert Molenberghs
  7. Craig K. Enders
  8. Ian R. White
  9. D. Isik
  10. Julie Josse

Papers from Michael G. Kenward's perspective

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

  1. INFERENCE AND MISSING DATA
  2. Analysis of Incomplete Multivariate Data (Technometrics)
  3. Estimation of Regression Coefficients When Some Regressors are not Always Observed
  4. Semiparametric Efficiency in Multivariate Regression Models with Missing Data
  5. Doubly Robust Estimation in Missing Data and Causal Inference Models
  6. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
  7. Semiparametric Efficiency Bounds
  8. INFERENCE FOR SEMIPARAMETRIC MODELS: SOME QUESTIONS AND AN ANSWER
  9. Statistical Analysis with Missing Data: Little/Statistical Analysis with Missing Data
  10. Unified Methods for Censored Longitudinal Data and Causality

Their papers