Covariate-Adjusted Restricted Cubic Spline Regression

Version 1.0.0.0 (3.75 KB) by Yuankai Huo
C-RCS Regression conducts non-parametric regression in GLM framework and covary out linear effects
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Updated 3 Jun 2016

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Covariate-Adjusted Restricted Cubic Spline Regression (C-RCS)
The code is corresponding to the following paper (please cite if using this code)
Yuankai Huo, Katherine Aboud, Hakmook Kang, Laurie E. Cutting, Bennett A. Landman, “Mapping Lifetime Brain Volumetry with Covariate-Adjusted Restricted Cubic Spline Regression from Cross-sectional Multi-site MRI”. In International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Athens, Greece, October 2016

The package contains 3 files:
CRCS_demo.m : is an example to conduct C-RCS regression
crcs.m : is the C-RCS regression
fit_crcs.m : to fit C-RCS regression results

Cite As

Yuankai Huo (2024). Covariate-Adjusted Restricted Cubic Spline Regression (https://www.mathworks.com/matlabcentral/fileexchange/57497-covariate-adjusted-restricted-cubic-spline-regression), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2014b
Compatible with any release
Platform Compatibility
Windows macOS Linux
Acknowledgements

Inspired by: Restricted Cubic Spline

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Version Published Release Notes
1.0.0.0

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