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cobenrich (version 1.0.1)

Using Multiple Continuous Biomarkers for Patient Enrichment in Two-Stage Clinical Designs

Description

Enrichment strategies play a critical role in modern clinical trial design, especially as precision medicine advances the focus on patient-specific efficacy. Recent developments in enrichment design have introduced biomarker randomness and accounted for the correlation structure between treatment effect and biomarker, resulting in a two-stage threshold enrichment design. We propose novel two-stage enrichment designs capable of handling two or more continuous biomarkers. See Zhang, F. and Gou, J. (2025). Using multiple biomarkers for patient enrichment in two-stage clinical designs. Technical Report.

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Version

Install

install.packages('cobenrich')

Monthly Downloads

123

Version

1.0.1

License

GPL-3

Maintainer

Jiangtao Gou

Last Published

April 15th, 2025

Functions in cobenrich (1.0.1)

findSATE2

Find the cutoff values of biomarkers based on the standardized average subpopulation treatment effect
avetrteff2

Compute the average subpopulation treatment effect and the standardized average subpopulation treatment effect when two biomarkers are involved
findATE2

Find the cutoff values of biomarkers based on the average subpopulation treatment effect
targetDel

Find the difference between the average subpopulation treatment effect and the desired one
targetLam

Find the difference between the standardized average subpopulation treatment effect and the desired one