Simultaneous Inference : When Should Hypothesis Testing Problems Be Combined ?

@inproceedings{EfronSimultaneousI,
  title={Simultaneous Inference : When Should Hypothesis Testing Problems Be Combined ?},
  author={Bradley Efron}
}
Modern statisticians are often presented with hundreds or thousands of hypothesis testing problems to evaluate at the same time, generated from new scientific technologies such as microarrays, medical and satellite imaging devices, or flow cytometry counters. The relevant statistical literature tends to begin with the tacit assumption that a single combined analysis, for instance a False Discovery Rate assessment, should be applied to the entire set of problems at hand. This can be a dangerous… CONTINUE READING
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