J. Hardt

Statistics and Probability · 2004–2013

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

Whom J. Hardt trusts overall

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

  1. Jeffrey E. Jarrett
  2. Nicholas J. Horton
  3. S. van Buuren
  4. K. Kleinman
  5. J. Graham

Who trusts J. Hardt overall

  1. Christine Marcelle Heim
  2. Alexander E Wong
  3. J. Baldwin
  4. P. Madley-Dowd
  5. Elisabeth B. Binder
  6. Thomas D. Lyon
  7. Aaron Reuben
  8. Shrija Dirghangi
  9. Matthew K. Nock
  10. Katie A. McLaughlin

Papers from J. Hardt's perspective

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

  1. How Many Imputations are Really Needed? Some Practical Clarifications of Multiple Imputation Theory (Prevention Science)
  2. Technometrics: Book Reviews
  3. MICE: Multivariate Imputation by Chained Equations in R
  4. Much Ado About Nothing (American Statistician)
  5. Imputation of missing values is superior to complete case analysis and the missing-indicator method in multivariable diagnostic research: a clinical example. (Journal of Clinical Epidemiology)
  6. Analysis of Incomplete Multivariate Data (Technometrics)
  7. INFERENCE AND MISSING DATA
  8. Statistical Analysis With Missing Data
  9. Multiple imputation: a primer
  10. A comparison of inclusive and restrictive strategies in modern missing data procedures. (Psychological methods)

Their papers