Twenty-eight composite photocatalysts were prepared by adjusting four operating parameters (amount of MWCNTs, amount of TiF4, hydrothermal temperature and hydrothermal time) at five levels by the method of multiple variable analysis.
The relatively low number of samples and the multiple variable analysis also have a risk of bias from multiple comparisons.
We used multiple variable analysis techniques to determine the relationship of BLL to period prevalent and incident asthma.
Results of univariate and multiple variable analysis provided evidence to support our findings (p-value <0.05 for all analyses).
We also performed a multiple variable analysis among all the markers, independently on the diagnostic classification, in order to evaluate a possible functional correlation among the markers.
Binary low birth weight (< 2,500 g) was not examined in multiple variable analysis because continuous birth weight provides more statistical power to detect subtle effects.
A multiple variable analysis was not performed due to the relatively low proportion of patients with any one exposure (and therefore limited statistical power) and the likelihood of co-linearity between exposures.
Multiple variable analysis showed that, over a 7-year period, mortality reduced significantly by 48% for postneonatal deaths, 33% for infant deaths and 29% for under-5 deaths, but there was no significant reduction in neonatal deaths (adjusted OR (AOR)=0.79, 95% CI 0.59 to 1.06) or child deaths (AOR=1.00, 95% CI 0.51 to 1.94).
The Cox multiple variable analysis showed that MAGEC2 was an independent factor that could determine OS and MFS durations (Table 2).> -wrap-foot> hazardaratiotio, CI confidence interval * Statistically significant (P < 0.05) We selected four breast cancer cell lines, SKBR-3, MDA-MB-231, Bcap-37, and MCF-7, to investigate their MAGEC2 expression levels as determined by Western blot.
The RASSF1A gene promoter methylation was found in tumors from 46.7% (57/122) of the patients and was not significantly different between smokers and never-smokers, but was associated significantly in multiple variable analysis with tumor histology (p = 0.031) and marginally with tumor stage (p = 0.063).
