Statistical Combination of Diagnostic Tests
Plot the combination scores using the training model
Predict combination scores and labels for new data sets using the trai...
Print the summary of linComb, nonlinComb, mlComb and mathComb function...
Generate ROC curves and related statistics for the given markers and C...
Standardization according to the training model parameters.
Standardization according to the chosen method.
Mathematical transformations for biomarkers
Available classification/regression methods in dtComb
dtComb: A Comprehensive R Package for Combining Diagnostic Tests
Helper function for minimax method.
Helper function for minmax method.
Helper function for PCL method.
Helper function for PT method.
Helper function for TS method.
Calculate Cohen's kappa and accuracy.
Linear Combination Methods for Diagnostic Test Scores
Combine two diagnostic tests with several mathematical operators and d...
Combine two diagnostic tests with Machine Learning Algorithms.
Combine two diagnostic tests with several non-linear combination metho...
A system for combining two diagnostic tests using various approaches that include statistical and machine-learning-based methodologies. These approaches are divided into four groups: linear combination methods, non-linear combination methods, mathematical operators, and machine learning algorithms. See the <https://biotools.erciyes.edu.tr/dtComb/> website for more information, documentation, and examples.