Covariate-Adjusted Restricted Cubic Spline Regression
C-RCS Regression conducts non-parametric regression in GLM framework and covary out linear effects
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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 (2026). Covariate-Adjusted Restricted Cubic Spline Regression (https://uk.mathworks.com/matlabcentral/fileexchange/57497-covariate-adjusted-restricted-cubic-spline-regression), MATLAB Central File Exchange. Retrieved .
Acknowledgements
Inspired by: Restricted Cubic Spline
General Information
- Version 1.0.0.0 (3.75 KB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.0.0.0 |
update citation
|
