http://www.psychologicalscience.org/journals/pps/4_3_inpress/Lazar_final.pdf
贴摘要
Discussion of “Puzzlingly High Correlations in fMRI Studies of Emotion, Personality, and
Social Cognition” by Vul et al. (2009)
Nicole A. Lazar
Department of Statistics, University of Georgia
Address correspondence to Nicole A. Lazar, Department of Statistics, University of Georgia,
Athens, GA 30602; e-mail: nlazar@stat.uga.edu.
ABSTRACT—In their article, Vul, Harris, Winkielman, and Pashler (2009, this issue)
raise the issue of nonindependent analysis in behavioral neuroimaging, whereby correlations are
artificially inflated as a result of spurious statistical procedures. In this comment, I note that the
phenomenon in question is a type of selection bias and hence is neither new nor unique to fMRI.
The use of massive, complex data sets (common in modern applications) to answer increasingly
intricate scientific questions presents many potential pitfalls to valid statistical analysis. Strong
collaboration between statisticians and scientists and the development of statistical methods
specific to the types of data encountered in practice can help researchers avoid these pitfalls.
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