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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Actualizado 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

Citar como

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. Recuperado .

Compatibilidad con la versión de MATLAB
Se creó con R2014b
Compatible con cualquier versión
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Más información sobre Splines en Help Center y MATLAB Answers.
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Inspirado por: Restricted Cubic Spline

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1.0.0.0

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