A limitation of this retrospective registry study is that we are unable to evaluate potential inaccuracies in coding of the diagnoses or procedures.
To evaluate this inaccuracy, we compared sequences sharing the same top BLAST hit by aligning them with the nucleotide sequences of their predicted genes using CLUSTAL W [ 24, 25] and its default parameters.
Furthermore I tried to evaluate if these inaccuracies could be attributed to the socially desired response bias.
To only evaluate the impact of inaccuracies in attenuation maps on the SPECT quantification, we considered these original attenuation maps to be accurate, and thus, we used the SPECT images corrected with these maps as reference images.
If statistical branching may be present, it is then important to determine the local dispersity in order to evaluate the (potentially large) inaccuracy.
There are thus two convenient parameters by which we can evaluate the accuracy (or inaccuracy) of any given participant's shape judgments (slope and y-intercept).
To evaluate errors arising from geolocation inaccuracies, every plot was shifted by random distances from its recorded location, a ACD-prediction model was calculated using TCH values estimated for these shifted plot locations, and ACD values predicted for the plots using that model.
We now report a comparison between the cesium fountain standard NIST-F1, whash has been evaluated with an inaccuracy of about 4 x 10 -16 10 -16andoptican frequency standard based opticalltraviolet transition in a single, laser-cooled mercury ion frequency the fractional standardic frequency uncertainty was based 7.2 x 10(-17).
Table 1 Inaccuracy evaluated for the analysis of the three drugs Drug (tablets) Active principle Declared concentration (mg) Found concentration (mg) ± SD Inaccuracy Voltaren 50 Diclofenac sodium salt 50 51.8 ± 0.2 + 3.6 Momendol 220 Naproxen sodium salt 220 225.5 ± 3.4 + 2.5 Prostide Finasteride 5 5.16 ± 0.07 + 3.2 Data come from at least 3 measures.
The percentage of multi-exon genes was also used as an index to evaluate the gene set for the inaccuracy of single-exon gene prediction.
The goal of this work is to describe and evaluate a new method that reduces the inaccuracies generally observed in the 2D contour definition and 3D volume reconstruction process.
