Shawn N. Murphy
Statistics and Probability · 2006–2021
A researcher in the Science corpus: 12 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 14 citations into it
- Management Science and Operations Research — 8 citations into it
- Economics and Econometrics — 6 citations into it
- Information Systems — 5 citations into it
Whom Shawn N. Murphy trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Shawn N. Murphy overall
- Yejin Kim
- Dianbo Liu
- Jimeng Sun
- Monica Agrawal
- Alistair E. W. Johnson
- Zexian Zeng
- Hwanjo Yu
- Timothy Miller
Papers from Shawn N. Murphy's perspective
Ordered by how strongly the researchers Shawn N. Murphy trusts endorse each paper. Same corpus, a different order for every researcher.
- The Adaptive Lasso and Its Oracle Properties
- Toolkit design for interactive structured graphics (IEEE Transactions on Software Engineering)
- Visualizing time-series on spirals (IEEE Symposium on Information Visualization, 2001. INFOVIS 2001.)
- The Elements of Statistical Learning: Data Mining, Inference, and Prediction
- Regularization Paths for Generalized Linear Models via Coordinate Descent
- Electronic medical records for discovery research in rheumatoid arthritis
- What Are Degrees of Freedom
- Aligning temporal data by sentinel events: discovering patterns in electronic health records (International Conference on Human Factors in Computing Systems)
- The Elements of Statistical Learning: Data Mining, Inference, and Prediction
- On the “degrees of freedom” of the lasso
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
- Mapping the human genetic architecture of COVID-19 (2021) — 807 citations
- The National COVID Cohort Collaborative (N3C): Rationale, design, infrastructure, and deployment (2020) — 477 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
- Portability of an algorithm to identify rheumatoid arthritis in electronic health records (2012) — 230 citations
- Electronic medical records for discovery research in rheumatoid arthritis (2010) — 329 citations
- Aligning temporal data by sentinel events: discovering patterns in electronic health records (2008) — 303 citations
- BMC Medical Informatics and Decision Making (2006)