Sentence examples for data studies have from inspiring English sources

The recent explosive publications of big data studies have well documented the rise of big data and its ongoing prevalence.

Using SEER-Medicare data, studies have examined low SES, marital status, race or ethnicity, distance to closest provider, managed care penetration, area screening rates, or residence in a racially segregated community as predictors of late-stage diagnosis [7, 8].

Since I'm an atheist, I'll base this claim on data: studies have shown that those who go to church are happier, more optimistic and healthier than others; attending religious services helps kids fight depression and by some (admittedly biased) accounts makes people more charitable.

Though there is some disagreement on the best ways to adjust and interpret satellite data, studies have indicated that correcting the UAH data in certain ways (specifically, removing a particular source of satellite error known as diurnal drift) would yield similar results to other data sets, indicating more warming.

Consisting with our data, studies have failed to show any association between serum phosphate and FGF-23 levels [ 25, 26].

Fructose intake, based on disappearance data studies, has correlated over the past five decades with increasing obesity prevalence (20).

Over the last decade, success in microarray data studies has led to an expansion of large-scale omics data analyses and their data types.

In the absence of incidence data, epidemiologic studies have commonly relied on mortality data to assess exposure disease associations.

Beside these official data, many studies have been published but must be carefully interpreted according to their level of pertinence.

Despite these promising data, several studies have produced disappointing results.

The individual-level data across studies have been pooled.