The random effects model was chosen, because the data were expected to be heterogeneous across studies.
It must be noted that a spread in the data is expected because there are several small parameters that can affect the results.
The general behavior is that not as much data can be processed at the scheduled times as expected, because the data arrives in bursts, which does not need to match with the scheduled slots.
This is expected because the data has strong drug and RNAi effects; also we only validated top hits with the strongest combined effect.
The average consumption of UK adults using the EFSA Comprehensive data fell to 333 g/d, while the average consumption based on the NDNS data was 310 g/d (this agreement is to be expected because the data are derived from the same source).
This is to be expected anyhow because the data set dictates the dynamics of the parameters.
Furthermore, dates for events in the hospital databases are expected to be accurate because the data are entered and coded by trained health records technicians.
The experimental data showed 97.24% resemblance with the expected data.
The future holds the prospect of ever greater cooperation between Silicon Valley and the N.S.A. because data storage is expected to increase at an annual compound rate of 53 percent through 2016, according to the International Data Corporation.
Also, because of the expected different distributions, the conservative nonparametric sign-test [26] was used as a test-statistic because this test does not require normally distributed data.
