Alexander Hapfelmeier

Statistics and Probability · 2012–2019

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

Subfields

• Statistics and Probability — 16 citations into it; #9,104 of 12,932 by trust here, #6,853 by citations
• Artificial Intelligence — 14 citations into it
• Molecular Biology — 8 citations into it
• Information Systems — 5 citations into it

Whom Alexander Hapfelmeier trusts overall

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

1. Leo Breiman
2. S. van Buuren
3. Carolin Strobl
4. J. Ross Quinlan
5. Torsten Hothorn
6. Hyunjoong Kim
7. Donald B. Rubin
8. Ian R. White
9. Trevor J. Hastie
10. Anne-Laure Boulesteix

Who trusts Alexander Hapfelmeier overall

1. Aaron Fisher
2. Cynthia Rudin
3. Francesca Dominici

Papers from Alexander Hapfelmeier's perspective

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

1. The Elements of Statistical Learning
2. INFERENCE AND MISSING DATA
3. Bagging Predictors
4. Random Forests
5. C4.5: Programs for Machine Learning
6. Screening large-scale association study data: exploiting interactions using random forests
7. Bias in random forest variable importance measures: Illustrations, sources and a solution
8. Statistical Analysis with Missing Data: Little/Statistical Analysis with Missing Data
9. Unbiased Recursive Partitioning: A Conditional Inference Framework
10. Multiple imputation using chained equations: Issues and guidance for practice (Statistics in Medicine)

Their papers

• A new variable importance measure for random forests with missing data (2012) — 201 citations
• Ticagrelor or Prasugrel in Patients with Acute Coronary Syndromes. (2019) — 630 citations
• CD274/PD-L1 gene amplification and PD-L1 protein expression are common events in squamous cell carcinoma of the oral cavity (2016)