This article gives an overview of DA methods, the statistical controversy that surrounds these procedures, and the potential impact on a clinical trial results.
Additionally, the arbitrary use of simple analytical procedures to calculate molecular properties, occasionally without a validation study, as well as a lack of statistical significance, has caused much controversy [ 18– 23].
Because there are no such dependencies in the multi-layer approach, the controversy about the statistical foundations of the two-stage approach (Gupta et al.., 2011) does not extend to our multi-layer approach.
However, mRNA and protein levels are not correlated for many human and yeast proteins, especially those that are regulated by post-transcriptional processes [ 51- 53], although there is controversy regarding correct statistical analysis and interpretation of some of these data [ 54].
The results, published 27 May in Science, may once again stoke the debate over juvenile violence; it has already triggered controversy over the unusual statistical method it employs.
Several studies identify novel putative cancer genes using statistical methods, some of which have stirred controversies (Forrest and Cavet 2007; Getz et al. 2007; Rubin and Green 2007).
However, we did not evaluate publication bias because much controversy remains about the applied statistical methods and outcomes in studies detecting publication bias [ 59].
This approach allows us to increase statistical power, improve precision, investigate heterogeneity, and settle controversies across different clinical trials.
The controversy largely revolves around highly complex statistical analyses of dozens of studies on Avandia and the heart attack risks.
However, the question of nonreproducibility of scientific results cannot be reduced to a mere controversy among epidemiologists a controversy that should be limited strictly to them and treated only by improving statistical methods.
