Susanne E. Churchill
Statistics and Probability · 2010–2015
A researcher in the Science corpus: 7 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 7 citations into it
Whom Susanne E. Churchill trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Susanne E. Churchill's perspective
Ordered by how strongly the researchers Susanne E. Churchill trusts endorse each paper. Same corpus, a different order for every researcher.
- The Adaptive Lasso and Its Oracle Properties
- The Elements of Statistical Learning: Data Mining, Inference, and Prediction
- What Are Degrees of Freedom
- Electronic medical records for discovery research in rheumatoid arthritis
- The Elements of Statistical Learning: Data Mining, Inference, and Prediction
- Term-Weighting Approaches in Automatic Text Retrieval
- DNorm: disease name normalization with pairwise learning to rank
- On the “degrees of freedom” of the lasso
- Prediction of coronary heart disease using risk factor categories.
- Cardiovascular Morbidity and Mortality in Women Diagnosed With Rheumatoid Arthritis (Circulation)
Their papers
- Serving the enterprise and beyond with informatics for integrating biology and the bedside (i2b2) (2010) — 976 citations
- Toward high-throughput phenotyping: unbiased automated feature extraction and selection from knowledge sources (2015) — 162 citations
- A mega-analysis of genome-wide association studies for major depressive disorder (2012) — 1,096 citations
- Development of phenotype algorithms using electronic medical records and incorporating natural language processing (2015) — 269 citations
- Methods to Develop an Electronic Medical Record Phenotype Algorithm to Compare the Risk of Coronary Artery Disease across 3 Chronic Disease Cohorts (2015) — 85 citations
- Autoantibodies, autoimmune risk alleles and clinical associations in rheumatoid arthritis cases and non-RA controls in the electronic medical records (2013) — 99 citations
- Electronic medical records for discovery research in rheumatoid arthritis (2010) — 329 citations