Sentence examples for missing over time from inspiring English sources

This fact went missing over time or is widely ignored despite the emergence of chaos theory and its implications for unpredictability [21].

The specific vulnerability of attention, executive functions, and emotional regulation in our sample indicates that screening assessments are essential for all children following childhood ischemic stroke to ensure that specific difficulties with higher level cognitive abilities that could impact learning and academic achievement are not missed over time.

It is still early days for Snow, and it remains to be seen whether this will be another app that Facebook will rue missing out on over time.

There were no statistically significant associations between the biomarker groups and missing data over time, however, APOE+ participants were marginally more likely to miss follow-up visits (odds ratio = 1.49, P = 0.07) and participants with small hippocampi were marginally less likely to miss follow-up visits (odds ratio = 0.66, P = 0.09).

We acknowledge that the attrition has resulted in missing data over time, however the use of linear mixed models has been shown to be robust when missing data depends on baseline values [ 75].

Do we observe missing posts over time?

Ireland is unique among the countries examined in the consistency in the increase in missing responses over time, and is one of a small number of countries (along with Austria, France, Liechtenstein, Luxembourg, New Zealand, and the United Kingdom) that show consistent increases in not reached responses.

Although there are some missing data over time, the overall response rate was >95% across the assessment time points.

There is a further possibility that the results are influenced by differences in proportions of missing data over time.

Non-response can lead to selection bias, and if added to the attrition process [ 32] can contribute to increasing missing data over time.

These changes in reporting standards may in part explain some of the missing values over time, which reduced the overall completeness of some variables.