Sentence examples for our data means from inspiring English sources

Exact(3)

The backward-looking nature of our data means we are only able to measure these individual time-varying characteristics at the end of the period, after the individual has or has not moved.

More generally the cross-sectional nature of our data means that we do not know about selection in return migration: in other words, we do not know how migrants that have left Ireland before we conducted our survey compare to the individuals in our dataset.

Finally, the cross sectional nature of our data means that we may have underestimated the strength of the associations between some risk factors and behaviour change.

Similar(57)

In our data, mean tracer uptake as measured in CT- and SPECT-unremarkable spongious bone of the lumbar spine was 8.75 ± 2.23 × 10−3 % ID per ml and 48.15 ± 13.66 kBq/ml.

Thus, our data (mean age, 10.0 years) are in excellent agreement with the published literature.

When using the equation including VA with our data mean ± SD predicted DLNO was 71 ± 13%, indicating abnormal gas exchange.

A linear model provided a good fit for our data (mean R = 0.96 ± 0.004 SE) showing that our infections were growing exponentially during this period of the infection.

In addition to smoothed references (3rd, 10th 25th, 50th, 75th, 90th, and 97th percentiles), we presented all descriptive characteristics of our data (mean, median, standard deviations) to let other researchers make comments on our results.

In our data, mean airborne arsenic concentrations for the four categories in Figure 1 ranged from 0.29 to 0.65 mg/m, and therefore correspond roughly to urinary arsenic levels from 263 to 400 μg/L.

But there was no correlation (P = 0.47) between P100 m amplitude and 'initial response' occurrence in our data; mean amplitude of P100 m was 1.87×10 fT when we detected the initial response and 2.03×10 fT when we did not.

A linear model provided a good fit for our data (mean R = 0.94 ±0.01 SE), and clearance slopes were used to individually calculate the infection half-life during drug treatment for each infection [half-life in hours = (natural log of 2/absolute clearance slope) × 24].

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