Similar discrepancies in estimations had been observed in previous studies, but those studies had focused on children and young adults, Spira said.
The E6 sample demonstrated the biggest discrepancy in estimation of parenchymal content (FC estimate 37 vs 80% histological assessment), which may be explained by the fact that the sample contained a large muscularis propria component, which could account for the high proportion of non-staining FC events.
Discrepancies in parameter estimation are observed however (e.g. larger N S values and more precise inferences for N F 2, N F 3 and N F 4 in the present treatment).
Wertheim et al. [ 25] previously pointed out how rate variation resulted in major discrepancies in the estimation of the age of HIV-1 M group subtypes when each subtype was analysed separately or combined in a total data set of all subtypes.
However, both of the analytical approaches show a big discrepancy in the estimation of the exponent which is critical to identify the type of nucleation and growth mechanism in the non-isothermal crystallization even though they have been derived from the same Avrami approach.
At such temperature neutral helium may not survive that shows a discrepancy in temperature estimation.
The discrepancy in the estimation of PVE is likely attributed to differences in population size and number of markers used in different studies.
The location of the riboprobe used for previous RPA analysis explains the apparent discrepancy in size estimation of this longer transcript: the distance from the PrrF1 transcriptional start site to the 5' end of the RPA riboprobe is 183 nt (Figure 2C), just one nucleotide difference in length from what was previously reported to be the size of the longer transcript.
For example, during the development of the PASAPQ questionnaire [ 25], Kozma et al. also found a similar discrepancy in MID estimation between anchor-based and distribution-based methods.
With ground-level measurements of PM2.5 air pollution having been unavailable for most of the planet [ 1, 59], these discrepancies in data leave estimation models of global PM2.5 air pollutant concentrations wholly disproportionate, weighted heavily in North America, Europe and East and South Asia [ 1].
