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When introduced early in the sample preparation, label-based methods are preferred for analyses that require extensive prefractionation/enrichment approaches, as lack of reproducibility of the above methods can be compensated for by a unique processing of the mixed sample.
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Because the inequality index method is regression based across what categories are available (three in our analyses), and allows for varying groups size over time and between comparison populations, it is preferred for main analyses.
Detection of forest area change obtained from land cover maps covering a longer period may be preferred for certain analyses.
Strong anion exchange columns are preferred for oligonucleotide analyses due to their ability to effectively control secondary structure and poly(G) interactions.
The c-index can be interpreted like an area under the curve (AUC), but has the advantage that it allows for censoring and is therefore preferred for survival analyses.
Traditionally, triple quadrupoles have been prefered for quantitative analyses.
Multivariate statistical and variographic analyses were preferred for optimal results and reliable interpretations of the results (Banoeng-Yakubo et al. 2008).
Kinematical, limit equilibrium and numerical analyses are generally preferred for the evaluation of rock.
In addition, since, under various simulation conditions, ML is always more accurate than MP in face of across-lineage rate variation, investigators continued to prefer ML for analysing real data.
Specifically, when measurements for primary or SF-36 outcomes were carried out at several time points, for primary efficacy outcomes we preferred analyses accounting for multiple measurements (for example, repeated measurement analysis) than analyses of single time points.
The small number of APNs and intervention practices limited the power of the study, even by using control data from all other 30 LHB practices and we would have preferred to analyse data for a longer duration.
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