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This may in itself explain the significant association found in their univariate analysis with a better survival and lower incidence of axillary metastasis (it may also explain, incidentally, why the latter associations are lost in the multivariate analysis).

Univ.: univariate analysis; Multiv.: multivariate analysis; OS: overall survival; M: male; F: female; IA: invasive aspergillosis; ANC: absolute neutrophil count; NE.: not evaluated; Factors significantly associated in univariate analysis with a better 100-day survival and OS were type of IA, surgical treatment, and the achievement of a favourable response rate.

For the analysis with a better model fit along with the reduction of possible measurement errors of T/S ratio, the ratio T/S was transformed to the natural log to generate an approximately normal distribution and outliers were excluded from the analysis.

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Furthermore, complementing a proteomic with a metabolomics analysis provides us with a better understanding of the maize embryonic callus induction process.

The benefits of secondary data analysis are undeniable, with a better understanding of what incentives encourage the release of research data into the public domain we can better assist researchers in developing strategies that allow them to add their data to the growing collection of secondary data resources.

Post hoc analysis of patients with a better prognosis who survived more than 17 months showed a survival advantage for the dalteparin group (Kakkar et al, 2004).

We characterized the host immune responses with pathway analysis, targeting a better understanding of the host's innate immune pathways and regulatory targets in the MLN.

Root Mean Square (RMS) errors calculated for each case suggest that polynomial (order 3) regression analysis provides a better agreement with the observations from among the three.

Root Mean Square (RMS) error analysis carried out for each case suggest that polynomial regression (order 3) analysis provides a better agreement with the observations from among the linear, polynomial (order 2 and 3) analysis.

Comparing the results from the SNR analysis and the phase delay analysis for frequency L1, it is clear that the sea level from phase delay analysis shows a better agreement with the independent tide gauge sea level than the sea level from SNR analysis.

Because breast tissue (and breast cancer) is heterogeneous, microarray analysis may provide clinicians with a better understanding of how to treat each specific case.

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