The researchers extracted a random sample of 500,000 bills from the database and calculated the time it took for each bill to change hands and the distance it traveled.
For this study, we extracted a random sample of women aged 40 years and older with breast cancer from a population-based database.
For denominator data, we extracted a random sample of 1,000 persons (≈1%) who served in the NZEF as detailed in the Cenotaph database.
Most researchers [ 21, 29, 30] dealt with this overestimation problem by extracting a random sample of the protein sequences in Swiss-Prot [ 31].
Extraction was carried out by one reviewer (ESB), with the second reviewer (PFM) independently extracting a random sample (10% of the total, and all included randomised controlled trials).
For candidate annotations with no matches in the reference databases, we extracted a random sample and submitted it to expert curators to manually evaluate the quality of the predictions.
From the ≈30 k families of our dataset, we extracted a random sample of 100 families uniformly spanning from 10to8080 taxa, and respecting the previously observed proportion of improving / non-improving cases in the reconciliation cost (i.e., 24%and76%6% resp).
To check the quality of our automatic assignment of university ranking, we extracted a random sample of 125 universities from each dataset and checked the university ranking manually, finding error rates of 11.2% for Frontiers, and 9.6% for IEEE (International).
Details on the age range, range of admission dates and specific ICD-10_AM codes to include in the sample (as described above) were provided to the State Health department, and the department extracted a random sample of unit record numbers (URN) and hospital identifiers.
The next step consisted of extracting a random sampling of physicians from each subgroup from the Quebec Geriatric Society list, a professional association of geriatricians and general practitioners, who work mainly with the frail elderly.
Data were extracted from a random sample of 50 family physicians in the Southeastern United States.
