The phrase "analysis of the sequential" is correct and usable in written English.
It can be used in contexts where you are discussing the examination or evaluation of sequential data or processes.
Example: "The analysis of the sequential patterns in the data revealed significant trends over time."
Alternatives: "examination of the sequential" or "evaluation of the sequential".
Based on the analysis of the sequential MV code, the code parts with high computational complexity or high percentage of execution time should be implemented on the GPU platform.
Study Design: The study incorporated adenovirus-mediated transduction of normal and stenotic rat larynges and histologic analysis of the sequential expression of a β-galactosidase marker gene over time.
The analysis of the sequential treatments was limited to the 6,182 patients entered into the four-arm option.
Analysis of the sequential serum data reported by Wu et al. [ 25] indicated a significant correlation between Il-10 and IL-12 in tolerance phase (correlation coefficient 0.42, P < 0.0001), suggesting that IL-10 may be bifunctional during the course of HBV infection and that its role may depend on serum levels and cooperative cytokines like IL-12 and downstream IL-2.
Building on an analysis of the action-sequential environments in which claims to non-serious intent are made, a distinction is first made between two distinct teasing practices, jocular mockery and jocular pretence.
One of the strengths of this form of analysis – which foregrounds the sequential organization of talk – is that the co-construction of meaning is made visible through the analysis and subject to analytic scrutiny (Heritage & Maynard, 2006).
However, because this "hand waving" analysis of the effect of sequential lineups on the HR and FAR is clearly insufficient, a quantitative assessment of some kind is needed.
Proportion meta-analysis for subgroup analysis of the type of sequential therapy.
P-values for crossing efficacy (futility) boundaries for the 1st, 2nd, 3rd and final analyses will be ≤ 0.003 (> 0.972), ≤ 0.007 (> 0.936), ≤ 0.017 (> 0.526) and ≤ 0.041 (> 0.041), respectively, for the 3 interim looks and final analysis of the initial group sequential stage.
In the fields of computational chemistry and cheminformatics, data management and analysis require the sequential application of multiple methods and algorithms.
Our goal is to provide a performance comparison of state-of-the-art multi-label learning algorithms for the analysis of multivariate sequential clinical data from medical records of patients affected by chronic diseases.
