When considering the data by school, however, as in the chart below, the state used the older, less complete tracking method.
The suggested application for Mozambique indicate that an acceptable outcome is possible even when considering the data requirements and constraints of developing countries.
These distinctions take on greater weight, however, when considering the data environments and collection practices common with Internet-based research.
The TMY3 data outperformed the SA data for the hourly and daily case when considering DNI; however, the NASA database was the most accurate with the TMY3 data providing the least accurate forecast, when considering the data collected over the 2-year period.
These extensions can be seen in the related work section when considering the data quality criteria given by [21], an attached section (number 7) that compares other criteria (presented in [21]) with criteria of this CBR data quality index and an additional section (Sect. 8), which presents the possibilities when invoking subindices.
When considered the data obtained from each bull, variations among individual were apparent.
However, some confounds will inevitably remain and this must be taken into account when considering the data.
When considering the data set as a whole, Δ Tsk was 11.0 ± 1.96°C, equivalent to a 34.2% decrease in skin temperature from pre- to post-WBC exposure.
When considering the data separately from each condition, this would be reflected in associations with baseline performance and lack of (or reduced) associations with performance in the conditions with incentive or event rate manipulations.
When considering the data provided in Table 2, however, it should be noted that these data do not provide a true estimate of test specificity, as most of the data was derived from herds where MAP infection was present; a more accurate estimate of test specificity would become evident if the dataset for specificity estimates were derived using herds free from MAP infection.
Although the strength of these data lie in their origin from randomised controlled trials, thus removing the risk of allocation bias that is associated with other types of study, some caution should be exercised when considering the data at face value.
