M. Linting
Statistics and Probability · 2012–2019
A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 15 citations into it
- Artificial Intelligence — 6 citations into it
Whom M. Linting trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- S. van Buuren
- Yang Yuan
- Joseph L. Schafer
- Donald B. Rubin
- Irini Moustaki
- J. Graham
- Jacqueline J. Meulman
Who trusts M. Linting overall
Papers from M. Linting's perspective
Ordered by how strongly the researchers M. Linting trusts endorse each paper. Same corpus, a different order for every researcher.
- INFERENCE AND MISSING DATA
- Statistical Analysis with Missing Data: Little/Statistical Analysis with Missing Data
- How Many Imputations are Really Needed? Some Practical Clarifications of Multiple Imputation Theory (Prevention Science)
- Multiple Imputation for Missing Data: Concepts and New Development
- Missing data: our view of the state of the art. (Psychological methods)
- Exploratory latent structure analysis using both identifiable and unidentifiable models
- Missing data
- Regression with missing Ys: An improved strategy for analyzing multiply imputed data
- MICE: Multivariate Imputation by Chained Equations in R
- An introduction to modern missing data analyses. (Journal of School Psychology)
Their papers
- Nonlinear Principal Components Analysis With CATPCA: A Tutorial (2012) — 312 citations
- Rebutting Existing Misconceptions About Multiple Imputation as a Method for Handling Missing Data (2019) — 521 citations