Statistically based forecasting employs time series with cross-sectional or longitudinal data.

Analysis of cross-sectional data usually consists of comparing the differences among the subjects.

The suggested increase in prevalence of morbidity with age is based in this case upon cross-sectional data.

Most of the evidence is based upon cross-sectional data and must, therefore, be interpreted cautiously.

For cross-sectional data (iid) the new observations are sampled independently, from the same fixed distribution.

However, the gradual evolution of the multiple risk factors and the onset of chronic diseases cannot be addressed using cross-sectional data.

With cross-sectional data it is not possible to make precise comparisons between changes in employment and economic activity over time.

For the cross-sectional data for children aged 2--23 months, there were 4,697 data points.

Hirschi's cross-sectional data from northern California high-school students are largely consistent with this view.

The strongest evidence that higher income brings higher life satisfaction comes from the cross-sectional country-by-country data.