Diagnostics for statistical variable selection methods for prediction of peptic ulcer disease in Helicobacter pylori infection

Keyphrases

• Helicobacter Pylori Infection 100%
• Generalized Additive Model 100%
• Variable Selection Methods 100%
• Statistical Variables 100%
• Peptic Ulcer Disease 100%
• Helicobacter Pylori (H. pylori) 66%
• Classification Model 66%
• Multivariate Adaptive Regression Splines 66%
• Clinical Features 33%
• Free Amino Acids 33%
• Predictive Power 33%
• Lysine 33%
• Arginine 33%
• Model Selection 33%
• Histidine 33%
• Overfitting 33%
• Chi-square 33%
• Logistic Regression 33%
• Citrulline 33%
• Laboratory Features 33%
• Prediction Accuracy 33%
• Major Features 33%
• Accurate Classification 33%
• Prospective Observational Study 33%
• Nonlinear Classification 33%
• Minimum Bias 33%
• Testing Procedures 33%
• Performance Comparison 33%
• Binary Response 33%
• Amino Acid Profiling 33%
• Stable Models 33%
• Nonlinear Statistical Model 33%
• Comprehensive Performance 33%
• Bayesian Variable Selection 33%
• Nonlinearity 33%

Biochemistry, Genetics and Molecular Biology

• Amino Acids 100%
• Helicobacter Pylori 100%
• Observational Study 50%
• Deviance 50%
• Lysine 50%
• Histidine 50%
• Arginine 50%
• Citrulline 50%

Mathematics

• Nonlinearity 33%