A more powerful method to evaluate p-values in GENEHUNTER

A more powerful method to evaluate p-values in GENEHUNTER.

The determination of statistical significance in genetic linkage studies is complicated by many factors, such as missing individuals or uninformative markers, and the validity of theoretical results is often questionable. Although many simulation-based methods have been proposed to determine empirically the statistical significance, they are either not generally applicable to complex pedigree s...

Which Metric Is More Appropriate to Evaluate Researchers?

Iranian medical universities choose their best researchers in each field annually. The protocols of this process have been modified quite often, but the changes were not fundamental and did not lead to all-inclusive evaluation tools. The recent article in Asia Pacific Journal of Medical Toxicology, which proposes a scoring scale for evaluation of scientist's impact called "360-degree researcher...

Understanding q-values as a More Intuitive Alternative to p-values

Fewer permutations, more accurate P-values

MOTIVATION Permutation tests have become a standard tool to assess the statistical significance of an event under investigation. The statistical significance, as expressed in a P-value, is calculated as the fraction of permutation values that are at least as extreme as the original statistic, which was derived from non-permuted data. This empirical method directly couples both the minimal obtai...

A farewell to P-values?

A recent paper in the medical literature by Sterne and Davey-Smith has focused attention on some of the problems of interpretation of significance/hypothesis tests; in particular, the meaning and status of P-values associated with these tests. What were these concerns: that the division of results into “significant” and “nonsignificant” according to a P-value = 0.05 was arbitrary and not in acc...