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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Aggiornato 3 giu 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

Cita come

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. Recuperato .

Compatibilità della release di MATLAB
Creato con R2014b
Compatibile con qualsiasi release
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Ispirato da: Restricted Cubic Spline

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Versione Pubblicato Note della release
1.0.0.0

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