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It is of fundamental interest in statistics to test the significance of a set of covariates. For example, in genomewide association studies, a joint null hypothesis of no genetic effect is tested for ...
P values indicate how incompatible the observed data may be with a null hypothesis; “P<0.05” implies that a treatment effect or exposure association larger than that observed would occur less than 5% ...
Clinical trials rely on statistics to show whether drugs are more effective than placebo pills. But how can we be certain? Semmick Photo/Shutterstock How should scientists interpret their data?
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