Sentence examples for means that analyses from inspiring English sources

In addition, the residential mobility of individuals and socioeconomic changes in areas over time means that analyses based on place of residence at a single time point could produce mis-estimation of the effect of area.

This means that analyses will include all randomized mothers in the groups to which they were randomly assigned, regardless of their adherence with the entry criteria, regardless of the treatment they actually received, and regardless of subsequent withdrawal from treatment or deviation from the protocol.

13 One relevant systematic review described new roles in emergency medical services (EMS) with some cost-saving, 14 but a paucity of studies with sufficient patient follow-up and consideration of training costs means that cost analyses are unreliable.

For meta-analysis this means that trials analysed without allowing for this design effect will receive too much weight.

The region of rat brain, used for analysis, was determined according to the brain atlas [ 51] from the level 14 (+0.95 from bregma) dorsally in a sequence of 3 slices, each 7  μm thick, in the distance of 15 sections (i.e., approximately 105  μm); it means that analysed part of rat brain was of about 220  μm thick.

Stratification by building also meant that analyses were controlled for degree of urbanicity, language region, and socio-economic position of the neighbourhood.

The high inter-correlations between PACIC subscales and the failure to confirm a five factor structure meant that analyses of construct validity focused on PACIC total scores only.

These characteristics mean that meaningful analyses can be performed by studying relatively small numbers of tumours.

However, it means that some analyses – e.g. multilevel analyses with the use of the university level – are not applicable.

Together with new WGA approaches and NGS, these analyses mean that unique insights into clonal heterogeneity and evolution at various disease stages can be obtained.

Secondly, it enables the mapping of data from previous products onto new designs, which means that robustness analyses can be performed in earlier design phases.