The randomized clinical trial is the preferred research design for evaluating competing diagnostic and therapeutic alternatives, but confidence in the conclusions from a randomized clinical trial depends on the authors' attention to acknowledged methodologic and statistical standards. This survey assessed the level of attention to the problem of multiple comparisons in the analyses of contempor...

Applied researchers often find themselves making statistical inferences in settings that would seem to require multiple comparisons adjustments. We challenge the Type I error paradigm that underlies these corrections. Moreover we posit that the problem of multiple comparisons can disappear entirely when viewed from a hierarchical Bayesian perspective. We propose building multilevel models in th...

Overtting is a widely observed pathology of induction algorithms. For induction algorithms that build decision trees, pruning is a common approach to correct overtting. Most common pruning techniques , do not account for one potentially important factor | multiple comparisons. Multiple comparisons occur whenever an induction algorithm examines several candidate models and selects the one that b...