Calculates Interclass Correlation Coefficient (3,1) as defined in P. E. Shrout & Joseph L. Fleiss (1979). “Intraclass Correlations: Uses in Assessing Rater Reliability”. Psychological Bulletin 86 (2): 420-428. This particular implementation is aimed at relaibility (test-retest) studies.
Inputs:
[Mandatory]
mask: (an existing file name)
subjects_sessions: (a list of items which are a list of items which are an existing file
name)
n subjects m sessions 3D stat files
[Optional]
ignore_exception: (a boolean, nipype default value: False)
Print an error message instead of throwing an exception in case the interface fails to
run
Outputs:
icc_map: (an existing file name)
session_var_map: (an existing file name)
variance between sessions
subject_var_map: (an existing file name)
variance between subjects
the data Y are entered as a ‘table’ ie subjects are in rows and repeated measures in columns