Biomarker Threshold Models
Function to perform Adaptive Rejection Sampling
An R package for the biomarker threshold models
Fitting Biomarker Threshold Models
Fitting Biomarker Continuous Threshold Models
Auxiliary function for bhm fitting
Creates a Kaplan-Meier plot with at risk tables below
Penalized likelihood ratio test for the generalized linear models.
Fit an L-shape linear model
Joint models for clustered data with binary and survival outcomes.
m-Dimensional Root (Zero) Finding
Calculate Hessian or Information Matrix
Calculate the Score / Jacobian Function
The Piecewise Exponential Distribution
Probability Index for Survival Time Difference
Auxiliary function for pIndex fitting
Plot a fitted biomarker threhold model
print a fitted object or a summary of fitted object
Rresidual Bootstrap Test (RBT) for treatment-biomarker interaction
Fitting Restricted Mean Survival Time Models with a Continuous Biomark...
Contains tools to fit both predictive and prognostic biomarker effects using biomarker threshold models and continuous threshold models. Evaluate the treatment effect, biomarker effect and treatment-biomarker interaction using probability index measurement. Test for treatment-biomarker interaction using residual bootstrap method.