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Journal of Statistical Software, ISSN 1548-7660, 2011, Volume 39, Issue 5, pp. 1 - 13
We introduce a pathwise algorithm for the Cox proportional hazards model, regularized by convex combinations of l(1) and l(2) penalties (elastic net). Our... 
Elastic net | Cox model | Survival | Lasso | REGRESSION | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | lasso | survival | STATISTICS & PROBABILITY | elastic net | VARIABLE SELECTION
Journal Article
Statistics and its Interface, ISSN 1938-7989, 2013, Volume 6, Issue 2, pp. 167 - 173
We introduce a cocktail algorithm, a good mixture of coordinate decent, the majorization-minimization principle and the strong rule, for computing the solution... 
Cox's model | MM principle | Elastic net | Coordinate descent | Strong rule | Elastic Net | REGULARIZATION PATHS | GENERALIZED LINEAR-MODELS | VARIABLE SELECTION | MATHEMATICS, INTERDISCIPLINARY APPLICATIONS | PROPORTIONAL HAZARDS MODEL | LASSO | MATHEMATICAL & COMPUTATIONAL BIOLOGY | OPTIMIZATION
Journal Article
Statistica Sinica, ISSN 1017-0405, 1/2012, Volume 22, Issue 1, pp. 271 - 294
Journal Article
Bioscience reports, ISSN 0144-8463, 05/2019, Volume 39, Issue 5
Gastric cancer (GC) patients have high mortality due to late-stage diagnosis, which is closely associated with lymph node metastasis. Exploring the molecular... 
Genes | Genomes | Metastasis | Regression analysis | Ribonucleic acid--RNA | Gene expression | Stomach cancer | Lymph nodes | Metastases | Regression models | Molecular modelling | Statistical models | Vascular endothelial growth factor C | Vascular endothelial growth factor | Gastric cancer | Growth factors | Cancer
Journal Article
by Li, HD and Liang, C
JOURNAL OF CANCER, ISSN 1837-9664, 2019, Volume 10, Issue 27, pp. 6792 - 6800
Objective: The purpose of this study was to investigate multigene panel markers to predict long-term survival in patients with colon cancer. Methods and... 
MANAGEMENT | ONCOLOGY | PROGNOSIS | colon cancer | GENES | Cox proportional hazards regression model | RECURRENCE | ADJUVANT THERAPY | DRUG-RESISTANCE | elastic net | EXPRESSION | SIGNATURE
Journal Article
Journal Article
International Journal of Medical Engineering and Informatics, ISSN 1755-0653, 2017, Volume 9, Issue 1, pp. 1 - 19
In recent years, the advances in genetic technology have enabled the collection of large amount of genetic information; as a result, analysis tools for... 
Penalised regression | Time-dependent | Prediction errors | Lasso | Nonlinear, survival | AUCs | Cox proportional hazard model | Elastic-net | Ridge | Statistical analysis | Demand analysis | Regression | Genetics | Collection | Mathematical models | Regression analysis | Survival
Journal Article
Journal of Statistical Software, ISSN 1548-7660, 2010, Volume 33, Issue 1, pp. 1 - 22
We develop fast algorithms for estimation of generalized linear models with convex penalties. The models include linear regression, two-class logistic... 
Logistic regression | Elastic net | Coordinate-descent | penalty | Lasso | Regularization path | regularization path | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | lasso | l penalty | LOGISTIC-REGRESSION | CLASSIFICATION | STATISTICS & PROBABILITY | ALGORITHMS | elastic net | logistic regression | VARIABLE SELECTION | coordinate-descent | ℓ1 penalty
Journal Article
Medical & Biological Engineering & Computing, ISSN 0140-0118, 9/2019, Volume 57, Issue 9, pp. 2011 - 2026
Appropriate management of hypertensive patients relies on the accurate identification of clinically relevant features. However, traditional statistical methods... 
Cardiovascular events | Feature selection | Biomedicine | Computer Applications | Hypertensive patients | Human Physiology | LASSO | Elastic net | Penalized regression | Biomedical Engineering and Bioengineering | Imaging / Radiology | MEDICAL INFORMATICS | ENGINEERING, BIOMEDICAL | REGULARIZATION PATHS | VARIABLE SELECTION | PREDICTION | STROKE | LIFETIME RISK | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | MODELS | DISEASE | MATHEMATICAL & COMPUTATIONAL BIOLOGY | BURDEN | AGE | Cardiovascular Diseases - etiology | Reproducibility of Results | Age Factors | Risk Assessment | Models, Cardiovascular | Humans | Middle Aged | Proportional Hazards Models | Male | Hypertension - physiopathology | Kidney Function Tests | Regression Analysis | Hypertension - complications | Adult | Cholesterol, LDL - blood | Female | ROC Curve | Aged | Databases, Factual | Case studies | Hypertension | Medical records | Analysis | Low density lipoproteins | Machine learning | Lipoproteins (low density) | Laboratories | Identification methods | Statistical methods | Accuracy | Regression models | Prediction models | Risk assessment | Sensitivity analysis | Statistical analysis | Hazards | Shrinkage | Regression analysis | Calibration | Statistics | Patients | Cholesterol | Model accuracy | Learning algorithms | Population (statistical) | Data sets | Biomarkers | Models | Regularization
Journal Article
Journal of Statistical Software, ISSN 1548-7660, 2014, Volume 58, Issue 12, pp. 1 - 23
Journal Article
Computational Statistics and Data Analysis, ISSN 0167-9473, 08/2017, Volume 112, pp. 1 - 13
The variable selection problem is discussed in the context of high-dimensional failure time data arising from the accelerated failure time model. A data... 
Gibbs sampler | Accelerated failure time model | Penalized regression | Group lasso | Bayesian lasso | REGRESSION | ELASTIC NET | SURVIVAL ANALYSIS | STATISTICS & PROBABILITY | PREDICTION | COX MODEL | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | SHRINKAGE | HAZARD RATIOS | FAILURE TIME MODEL | MICROARRAY DATA | Medical policy | Lymphomas | Epidemiology | Analysis
Journal Article
Environmental Health: A Global Access Science Source, ISSN 1476-069X, 09/2017, Volume 16, Issue 1, pp. 102 - 17
Background: There is growing concern of health effects of exposure to pollutant mixtures. We initially proposed an Environmental Risk Score (ERS) as a summary... 
Bayesian kernel machine regression (BKMR) | Mixtures | Environmental risk score (ERS) | Metals | Machine learning | Multipollutants | Cardiovascular disease | Elastic-net | Bayesian additive regression tree (BART) | Super Learner | REGRESSION | ARSENIC EXPOSURE | HEAVY-METALS | GAMMA-GLUTAMYL-TRANSFERASE | ATHEROSCLEROSIS | Bayesian additive regression tree ( BART) | EXPOSURE MEASUREMENT | ENVIRONMENTAL SCIENCES | PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH | US POPULATION | CHEMICAL-MIXTURES | URINE | HEALTH | Environmental Pollutants - adverse effects | Risk Assessment - methods | United States - epidemiology | Prevalence | Humans | Middle Aged | Linear Models | Male | Metals - adverse effects | Machine Learning | Young Adult | Cardiovascular Diseases - epidemiology | Adult | Female | Aged | Cardiovascular Diseases - chemically induced | Oxidative Stress - drug effects | Oxidative stress | Usage | Analysis | Research | Biological markers | Health risk assessment | Methods | Risk factors | Barium | g-Glutamyltransferase | Health services | Risk | Cobalt | Epidemiology | Blood | Ecological risk assessment | Training | Population | Hazardous substances | Blood pressure | Bioindicators | Mathematical models | Pollutants | Public health | Hypertension | Urine | Construction standards | Outdoor air quality | Cardiovascular system | Cadmium | Nutrition | Principal components analysis | Data processing | Exposure | Regression analysis | Environmental risk | Heavy metals | Studies | Learning algorithms | Teaching methods | Acids | Predictions | Biomarkers | Diabetes | Cardiovascular diseases | Bayesian analysis | Artificial intelligence
Journal Article
Journal of Multivariate Analysis, ISSN 0047-259X, 01/2019, Volume 169, pp. 179 - 204
Journal Article
Journal of statistical software, 3/2011, Volume 39, Issue 5, pp. 1 - 13
We introduce a pathwise algorithm for the Cox proportional hazards model, regularized by convex combinations of ℓ 1 and ℓ 2 penalties (elastic net). Our... 
Cox model | elastic net | lasso | survival
Journal Article
Journal of Computer Virology and Hacking Techniques, ISSN 2274-2042, 2/2018, Volume 14, Issue 1, pp. 1 - 20
Malware classification using machine learning algorithms is a difficult task, in part due to the absence of strong natural features in raw executable binary... 
Elastic-Net | Computer Science, general | Malware classification | Multi-byte identifier | Computer Sc