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CMFsurrogate

Calibrated Model Fusion Approach to Combine Surrogate Markers

v1.1 · Jan 25, 2026 · GPL

Description

Uses a calibrated model fusion approach to optimally combine multiple surrogate markers. Specifically, two initial estimates of optimal composite scores of the markers are obtained; the optimal calibrated combination of the two estimated scores is then constructed which ensures both validity of the final combined score and optimality with respect to the proportion of treatment effect explained (PTE) by the final combined score. The primary function, pte.estimate.multiple(), estimates the PTE of the identified combination of multiple surrogate markers. Details are described in Wang et al (2022) <doi:10.1111/biom.13677>. A tutorial for the package is available at <https://www.laylaparast.com/cmfsurrogate> and a Shiny App is available at <https://parastlab.shinyapps.io/CMFsurrogateApp/>.

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OK 14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026

Dependency Network

Dependencies Reverse dependencies MASS CMFsurrogate

Version History

3 tracked
new 1.1 Mar 10, 2026
updated 1.1 ← 1.0 diff Jan 24, 2026
new 1.0 Sep 22, 2022