Displaying 2 results from an estimated 2 matches for "karnisky".
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karniski
2006 Mar 18
1
Time-Series, multiple measurements, ANOVA model over time points, analysis advice
...error rate. If we run analysis at many small sections of a long
time-series, the Type-I family-wise error rate is a concern. Is it
important to consider the temporal dependence in the time-series data?
There are papers on ramdomization tests for the sort of time-series data we
have (eg, Blair and Karnisky, 1993), but these papers often report only
t-test comparisons, not F-tests with 2+ factors.
BACKGROUND:
We have a dataset from a human neuroimaging experiment. Subjects view a
screen, with a fixation point at the center. A cue arrow appears, directing
their attention to the lower left or right...
2010 Apr 24
2
multiple paired t-tests without loops
I am new to R and I suspect my problem is easily solved, but I haven't
been able to figure it out without using loops. I am trying to
implement Blair & Karniski's (1993) permutation test. I've included a
sample data frame below. This data frame represents the conditional
means (C1, C2) for 3 subjects in 2 consecutive samples of a continuous
data set (e.g. ERP waveform).