Differences in cell culture techniques, reagents and cell lines between laboratories may have exacerbated these discrepancies, and these differences highlight the need for better techniques to identify such treatment-resistant subpopulations of cells.
However, interscorer discrepancy and protocol differences (when different laboratories are involved) have been shown to be the most important sources of variability (Bonassi et al. 2001).
22 Two investigators (CO and GO) did the process independently for three whole cases (eight interviews), meeting regularly to examine discrepancies in coding and differences in interpretation of individual passages and revising definitions of codes where necessary, thus ensuring consistency and inter-coder reliability.
We investigated the origins of this discrepancy and identified differences in microarray data pre-processing.
These authors reviewed three journals each, randomly checked each other's coding, discussed any uncertainties or discrepancies, and resolved these differences by consensus.
NOTES: Rounding may cause slight discrepancies in calculating sums and differences.
Stoichiometric and kinetic comparisons showed several differences, discrepancies and incoherence especially regarding the kinetic mechanisms assumed, parameters and units.
A Bayesian fuel consumption model attributes these discrepancies to differences in rolling, frictional and aerodynamic resistances.
Discrepancies were arbitrarily defined as follows: minor discrepancies as differences ranging between 1 and 10% (1- < 10%), major discrepancies as differences ranging between 10 and 25% (10- < 25%) and very major discrepancies as differences greater than or equal to 25%≥2525%).
For every type of discrepancy, the individual count for that type was numerically higher in retracted than unretracted trial reports; for three types (arithmetical errors, factual discrepancies, and missed P values), this difference between retracted and unretracted reports was statistically significant.
