A new graphical procedure for multiple comparisons of k standard deviations is provided. As a test for homogeneity of variances, the new procedure has similar type I and type II error properties as the Brown and Forsythe (1974) version of the Levene (1960) test, W50. The graphical display associated with the multiple comparisons test, however, provides a useful visual tool for screening samples...

s A major limitation of making inference about treatment effect based on observational data from a non-randomized study designs is the treatment selection bias, in which the baseline characteristics of the population under one treatment could dramatically differ from the other one. If not handled properly, such sources of heterogeneity will introduce confounding effects into a causal-effect rel...

We present a state-of-the-art review of ranking, selection and multiple-comparison procedures that are used to compare system designs via computer simulation. We describe methods for four classes of problems: screening a large number of system designs, selecting the best system, comparing all systems to a standard and comparing alternatives to a default. Rather than give a comprehensive review ...

Researchers in the behavioural sciences have been presented with a host of pairwise multiple comparison procedures that attempt to obtain an optimal combination of Type I error control, power, and ease of application. However, these procedures share one important limitation: intransitive decisions. Moreover, they can be characterized as a piecemeal approach to the problem rather than a holistic...

The search for an adequate dose involves some of the most complex series of decisions to be made in developing a clinically viable product. Typically decisions based on such dose-finding studies reside in two domains: the first being one of “proof” that the treatment provides evidence of effectiveness. The second concerns the need to choose dose(s) for further development. The analysis of dose ...

SUMMARY A Perl utility called SCANMS was written that operates on parametric bootstrap data generated by Hudson's simulator MS. SCANMS simulates sliding window analysis of Tajima's D or Fu and Li's D(*) or F(*) over the replicates and generates the empirical joint distribution of window minima and maxima. This distribution may then be used to calculate achieved significance values or significan...

Multiple comparisons or multiple testing has been viewed as a thorny issue in genetic association studies aiming to detect disease-associated genetic variants from a large number of genotyped variants. We alleviate the problem of multiple comparisons by proposing a hierarchical modeling approach that is fundamentally different from the existing methods. The proposed hierarchical models simultan...

An analysis of covariance model is developed for paired comparisons to situations in which responses (on a preference order) to paired comparisons are obtained on some primary as well as concomitant traits. Along with the general rationality of the proposed test, its asymptotic properties are studied.

Voxel-based lesion-symptom mapping (VLSM) is an important method for basic and translational human neuroscience research. VLSM leverages modern neuroimaging analysis techniques to build on the classic approach of examining the relationship between location of brain damage and cognitive deficits. Testing an association between deficit severity and lesion status in each voxel involves very many i...