Abstract
Besides hypothesis testing, which should be done as sparingly as possible, the measured or observed data should be described as extensively as possible. The traditional reliance on profiles of the mean responses may neglect useful information, and such profiles may also be misleading. With the aid of exploratory data analysis, different aspects of the structure of a data set can be considered. 'Data snooping' may discover coherences, non-trivial structures and peculiarities, which lead to a new hypothesis or to new mathematical-statistical models. It is, in our opinion, a necessity to consider exploratory and confirmatory data analyses in conjunction. This will be illustrated by examples taken from pharmaco-EEG studies.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
