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"Correlation coefficient" by Kiatdd - Own work. Licensed under CC BY-SA 3.0 via Wikimedia Commons
Research in Progress Presentation
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Research in Progress Presentation
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column 1: raw data: big black dots
showing the local maxima that are
reported, dotted line is “true” simulated
signal, black thick line is that signal with
added noise.
column 2: shows the results of ALE: the
result is more of a curve because the
“ALE statistic” reflects a probability value
that at least one peak is within r mm of
each voxel, so the highest values of
course correspond to actual peaks.
column 3: kernel density analysis (KDA)
gives us a value at each voxel that
represent the number of peaks within r
mm of that voxel. If we divide by voxel
resolution we can turn that into a
“density”
column 4: is MULTI kernel density
analysis, which is the same as KDA, but
the procedure is done for each
study. The resulting “contrast indicator
maps” are either 1 (yes, there is a peak
within r mm) or 0 (nope).
Research in Progress Presentation
Research in Progress Presentation
Research in Progress Presentation
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Research in Progress Presentation
The Wilcoxon signed-rank test is a non-parametric statistical
hypothesis test used when comparing two related samples,
matched samples, or repeated measurements on a single
sample to assess whether their population mean ranks differ
(i.e. it is a paired difference test). It can be used as an
alternative to the paired Student's t-test, t-test for matched
pairs, or the t-test for dependent samples when the
population cannot be assumed to be normally distributed.[1]

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Research in Progress Presentation

  • 46. "Correlation coefficient" by Kiatdd - Own work. Licensed under CC BY-SA 3.0 via Wikimedia Commons
  • 54. Xi
  • 57. Xi
  • 58. Xi
  • 59. Xi
  • 74.
  • 76. column 1: raw data: big black dots showing the local maxima that are reported, dotted line is “true” simulated signal, black thick line is that signal with added noise. column 2: shows the results of ALE: the result is more of a curve because the “ALE statistic” reflects a probability value that at least one peak is within r mm of each voxel, so the highest values of course correspond to actual peaks. column 3: kernel density analysis (KDA) gives us a value at each voxel that represent the number of peaks within r mm of that voxel. If we divide by voxel resolution we can turn that into a “density” column 4: is MULTI kernel density analysis, which is the same as KDA, but the procedure is done for each study. The resulting “contrast indicator maps” are either 1 (yes, there is a peak within r mm) or 0 (nope).
  • 83. The Wilcoxon signed-rank test is a non-parametric statistical hypothesis test used when comparing two related samples, matched samples, or repeated measurements on a single sample to assess whether their population mean ranks differ (i.e. it is a paired difference test). It can be used as an alternative to the paired Student's t-test, t-test for matched pairs, or the t-test for dependent samples when the population cannot be assumed to be normally distributed.[1]