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When predictions don't predict
A L Speirs1, R H Asch, S J Silber
1Reproductive Biology Unit, Royal Women's Hospital, Melbourne, Australia.
The Australian & New Zealand Journal of Obstetrics & Gynaecology
|November 1, 1991
Abstract:
One of the most widespread abuses of statistical methods involves the misinterpretation of statistical significance after the application of multiple comparisons. This paper highlights the problem by demonstrating 'significance' when clearly none exists.