R. Omar

Statistics and Probability · 2000–2015

A researcher in the Science corpus: 4 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 34 citations into it
• Optimization & Training — 6 citations into it

Whom R. Omar trusts overall

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

1. Sunil Rao
2. Robert Tibshirani
3. Hui Zou

Papers from R. Omar's perspective

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

1. The Adaptive Lasso and Its Oracle Properties
2. Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
3. COORDINATE DESCENT ALGORITHMS FOR NONCONVEX PENALIZED REGRESSION, WITH APPLICATIONS TO BIOLOGICAL FEATURE SELECTION (Annals of Applied Statistics)
4. Clinical Prediction Models—a Practical Approach to Development, Validation and Updating
5. A solution to the problem of separation in logistic regression (Statistics in Medicine)
6. Adaptive Lasso for sparse high-dimensional regression models
7. Bootstrapping Lasso Estimators
8. Concordance probability and discriminatory power in proportional hazards regression
9. The Bayesian Lasso
10. Modern modelling techniques are data hungry: a simulation study for predicting dichotomous endpoints (BMC Medical Research Methodology)

Their papers

• How to develop a more accurate risk prediction model when there are few events (2015) — 644 citations
• Review and evaluation of penalised regression methods for risk prediction in low‐dimensional data with few events (2015) — 340 citations
• Meta‐analysis using multilevel models with an application to the study of class size effects (2000) — 158 citations
• A novel clinical risk prediction model for sudden cardiac death in hypertrophic cardiomyopathy (HCM risk-SCD). (2014) — 1,111 citations