A three-stage approach to identify biomarker signatures for cancer genetic data with survival endpoints

Keyphrases

• Genetic Data 100%
• Biomarker Signature 100%
• Cancer Genetics 100%
• Familywise Error Rate 100%
• Three-stage Approach 100%
• Prognostic Biomarker 66%
• Predictive Biomarker 66%
• Cancer Patients 33%
• Software Implementation 33%
• Genetic Studies 33%
• Multiple Testing 33%
• Drug Development 33%
• Model Selection 33%
• Bootstrap 33%
• Invalid 33%
• Personalized Treatment 33%
• Error Model 33%
• Rate Selection 33%
• Least Absolute Shrinkage and Selection Operator (LASSO) 33%
• Selection Accuracy 33%
• Discovery Process 33%
• Significant Biomarkers 33%
• Variable Screening 33%
• Penalized Approach 33%
• Cox Proportional Hazards Regression 33%
• High-dimensional Covariates 33%

Mathematics

• Wise Error Rate 100%
• Main Effect 33%
• Model Selection 33%
• Statistical Hypothesis Testing 33%
• Real Data 33%
• Covariate 33%
• Proportional Hazards Model 33%
• Cancer Patient 33%
• Proportional Hazard Regression 33%