Exact(2)
The one-tailed Fisher test calculates the probability P(X ≥ x) of finding purely by chance at least x out of K genes associated with a category comprising M genes given a total database size of N genes (1).
A comparison group of 2,002 patients from a total database of 3.2 million patients who did not receive the risk test was randomly selected from the same clinical database after matching for age, sex, selected diagnoses, and metabolic risk factors.
Similar(58)
The raw MS data of the mixture of gliadins were searched against a total gluten/gliadin database which was downloaded from http://appliedbioinformatics.wur.nl/.wur.nl/
The major strength of our study is the inclusion of every patient with type 2 diabetes from a total population database of 3,755,038 people over age 30.
At this stage, 12 913 RNs were excluded since they did not meet inclusion criteria, for example, workplaces or functions beyond the scope of inclusion criteria for the study, giving a total study database of 10 174 respondents.
The initial searching following de-duplication produced a total of 793 database citations, including four papers suggested by topic experts [ 13– 16].
This search generated a total of 354 database hits, which were then manually reviewed to generate a list of the medical records of patients presenting for their first diabetes consultation in the clinic.
A total of three databases were searched on the 3 September 2013: PubMed, Embase (Ovid) and Cochrane Trials database.
Since that the multi-camera scenario is more complex, a total of five databases were used: PETS 2006, PETS 2009, CAVIAR4REID, SAIVT-SoftBio, and MUBA.
A total of 6 databases, 27 journal websites, 20 websites from grey sources, 9 websites from medical colleges and professional associations as well as 22 government/commission websites were searched.
The main strength of our study is that we have searched a total of nine databases in order to encompass all the related reports.
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