IPN tools for Test-Retest Reliability Analysis

This is one part of my IPN toolbox, aiming at the reliability analysis of neuroimaging meaures.

The basic functions include the MATLAB implementation of ICC (Intraclass Correlation Coefficient), CCC (Corcordance Correlation Coefficient) and Kendall's W or KCC (Kendall's Coefficient of Concordance).

List of basic functions:

[1]. IPN_icc: computes the interclass correlations for indexing the reliability analysis according to shrout and fleiss' schema.
REFERENCE:
Shrout PE, Fleiss JL. Intraclass correlations: uses in assessing rater reliability. Psychol Bull. 1979;86:420-428.
[2]. IPN_ccc: computes the concordance correlation coefficient for evaluating reproducibility.
REFERENCE:
Lin, L.I. 1989. A Corcordance Correlation Coefficient to Evaluate Reproducibility. Biometrics 45, 255-268.
[3]. IPN_kendallW: computes the Kendall's W.
REFERENCE:
Kendall, M. G. and Babington Smith, B. 1939. The Problem of m Rankings. The Annals of Mathematical Statistics 10 (3): 275–287.

Papers List:
[1]. Zuo XN, Di Martino A, Kelly C, Shehzad ZE, Gee DG, Klein DF, Castellanos FX, Biswal BB, Milham MP. The oscillating brain: Complex and reliable. Neuroimage 49(2): 1432-1445.
[2]. Zuo XN, Kelly C, Adelstein JS, Klein DF, Castellanos FX, Milham MP. 2010. Reliable Intrinsic Connectivity Networks: Test-Retest Evaluation Using ICA and Dual Regression Approach. NeuroImage, in press.