When DCIS is diagnosed on surgical specimens, some variables are important to the clinical decision-making process and should be cited by the pathologist.
For comparison of resistance between regions and specimen types, these variables were entered in the multivariate analysis in a dummy form (resistance rate in northern Taiwan or that of blood samples as the reference group, respectively).
The "grand mean", i.e. the consensus shape of all specimens and shape variables were then generated as partial warp scores (PWs) including both uniform and non-uniform components [ 44, 49].
It is found that both CDM and MPM models, each coupled with MM model correctly describe the overall creep behavior of the notched specimen if two damage variables are used.
Multiple variables (including patient, tumor, specimen, and follow-up variables) were evaluated.
The variables were specimen number, date of test, name and date of birth of man receiving test, NHS number and hospital number, name of GP and practice, and total PSA level (ng ml−1).
The experimental program included the testing of a total of 14 specimens, with the main variables being the section configuration, the thickness of the FRP tube and the loading scheme.
Univariate associations between fecal viral concentration (log10 copies cDNA/g fecal specimen), baseline characteristics, and clinical variables were examined by using the Mann-Whitney test or χ test as appropriate.
A total of 396 CPB specimens under different combination of influencing variables were tested for the preparation of the dataset.
Only eight specimens of cold-formed sigma columns with different variables are chosen.
