Dhanya Pramod

Statistics and Probability · 2019

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Dhanya Pramod trusts overall

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

  1. Joseph L. Schafer
  2. Donald B. Rubin
  3. Ms. R. Malarvizhi
  4. Ian R. White
  5. S. van Buuren
  6. Jason Poulos
  7. Patrick Royston

Papers from Dhanya Pramod's perspective

Ordered by how strongly the researchers Dhanya Pramod 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. Multiple imputation: a primer
  4. Multiple imputation for missing data in epidemiological and clinical research: potential and pitfalls (British medical journal)
  5. Missing value estimation methods for DNA microarrays
  6. Multiple imputation using chained equations: Issues and guidance for practice (Statistics in Medicine)
  7. MICE: Multivariate Imputation by Chained Equations in R
  8. Missing data: our view of the state of the art. (Psychological methods)
  9. Imputation of missing data in life‐history trait datasets: which approach performs the best?
  10. 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)

Their papers