Use of these data may require analyses of data validity to be made to assess variability and the degree of error in the data [ 1– 13].
Also, studies involving changes in CSF metabolites and proteins may require analyses using a single platform to rule out artifacts found as a result of cross-platform comparisons.
In this section, we describe scenarios that may require sensitivity analyses, and how one could use sensitivity analyses to assess the robustness of the statistical analyses or findings of RCTs.
Where different data integrations may require different analyses, 3Omics, in general terms, provides correlation, coexpression, phenotype, pathway enrichment, and GO enrichment analyses.
In addition to incorporating objective valuations of the market value of the land, improvements, and any lost personal property, this may require economic analyses of land-derived income, and articulation of the cultural, economic, and other benefits provided by the land (see German et. al.).
300 Adequately powered analyses may require preplanned meta-analyses with results from other studies.
Traditional techniques for estimation of this critically important property are often not as accurate as is required and may require extended compositional analyses to be conducted beforehand.
Sometimes, one cannot anticipate all the challenges that can occur during the conduct of a study that may require additional sensitivity analyses.
For example, if the researcher plans other analyses besides t tests and ANOVAs, these analyses may require different reliabilities.
Experimental evidence to determine the precise peptides encoded by TICs may require high-throughput proteomic analyses [ 43].
