Sentence examples for data and the problem from inspiring English sources

"It would produce a tsunami of data, and the problem is that we aren't set up with health-care systems that can deal with all that," he says.The answer will be even more technology, says Dr Bakalar.

Such data therefore still falls into the category of cross-sectional data, and the problem of reverse causality is thus tackled.

There are always bottlenecks in bridging analog communications to digital data, and the problem is more complex when it involves wireless signal strength that can fluctuate when the user is driving or sitting on a train.

From the fact that one perceives (or immediately perceives) a particular object (be it a public object or a private mental one), nothing at all follows about whether the experience of so perceiving is assessable for accuracy or not (for more on sense-datum theories, see the entries on sense data and the problem of perception).

The conclusions of this review only allow us to make some cautious recommendations, due to the limited data and the problem of non-independence when exploring possible causes of heterogeneity in effect size.

Comparison between the effect of adjustment for 25(OH D concentrations in the observed seasonal patterns in the inflammatory/hemostatic factors, and the direct associations between 25(OH D and these outcomes, demonstrates the limitations of cross-sectional analysis of data and the problem of possible over/under adjustment.

There are, however, some questionable areas such as confronting variables, degree of correlation, the overall consistency of the data, and the problems of ETS measurement.

We chose visualization methods and designed interactions based on the nature of the data and the problems faced.

The problem has been compounded by the limited amounts of national food consumption data and the problems associated with estimating high level exposures when there are simultaneous routes of exposure.

Disadvantages include the difficulty of specifying complex covariance structures in the data, the unreliability of SMRs based on sparse data, and the problems of estimating variances of the relative risks.

Only in more advanced T3 disease did surgery appear to have a greater survival benefit but again this was on raw data and the problems of understaging and occult pelvic node disease were not accounted for in this comparison.