Sentence examples for stage of analyses from inspiring English sources

27 Regression models for the first stage of analyses adjusted for treatment received were fitted as general linear models.

If this showed the presence of a statistically significant interaction, then a second stage of analyses was performed.

In addition, it enables the interaction between preference of participants and outcomes to be quantified in later stage of analyses [ 20].

Thus, the first stage of analyses in which multiple-testing is performed is usually considered to be hypothesis-generating, and results of these analyses will contain some false positives.

However, in this study we were primarily interested in the relationship between exposure to PCBs, PCDD/Fs and PBDEs and congenital cryptorchidism instead of actual chemical levels and therefore we merely used the residuals of the first stage of analyses instead of the calculated estimate.

Models for intention to treat analyses and the second stage of analyses adjusted for treatment received across the three time points were fitted with linear mixed models, with either randomisation group or treatment received, respectively, stratification variables (site and follow-up status), and time point as fixed factors and patient as a random factor.

Multiplicity of testing was adjusted using either the false discovery rate (FDR) [31], pFDR, or a stringent p-value threshold in various stages of analyses.

There were two stages of analyses in this study.

For example, in analysing the English clause in terms of MOOD, the first stage of the analyses shows a distinction between the indicative clause and the imperative clause by the presence of the elements Subject and Finite (i.e. a tense/modality verbal operator) in the indicative and the absence of these elements in the imperative, except in the marked realisation of you as imperative Subject.

In the first stage of the analyses we tested 5 SNPs in NPY2R and 5 SNPs in NPY1R/NPY5R region for association with macro-nutrient intake (as percentage of total energy intake).

In the second stage of the analyses we continued with the most interesting findings and therefore we tested 5 SNPs and 12 haplotypes in the NPY1R/NPY5R region for association with subgroups of carbohydrate intake (mono- and disaccharides, polysaccharides, GI and GL).