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Also, with so few data points in any given analysis (i.e. four for oilseed rape and six for maize), it is difficult to see how it can be verified that the data meet the underlying assumptions upon which the validity of the analyses depend.
The analyses depend on the observational nature of the study and the use of existing controls.
In all these applications, the reliability and accuracy of the analyses depend critically on the quality of the underlying alignments.
Thus, the differences between the analyses depend on the selection of the studies (WHO 2010; Nielsen and Wolkoff 2010; Schwilk et al. 2010).
In the current study, only subjects with at least 2 visits were included because the analyses depend on fitting polynomial regression curves to each subject's data.
Secondly, the analyses depend on the trial data that were available at the start of this study and we could not investigate some questions of interest.
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The total number of births included in the analyses depends on outcome and exposure measure (Table 1).
Furthermore to mine the data depending on gravida status, we stratified the analyses depending on gravida status to identify importance of full-term pregnancy.
The secondary clinical and demographic data collected at baseline will be inspected and will also be included as covariates in the analyses, depending on the proportions of variance shared between these variables.
To isolate the effect of the press release, we adjusted the analyses depending on whether the quality measure was present in the abstract or editor note of the journal article.
Each participant who had ever used HRT in more than one of the above HRT categories was counted more than once across the analyses (depending on switching pattern), i.e. the categories are not mutually exclusive.
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CEO of Professional Science Editing for Scientists @ prosciediting.com