Binary logistic regression evidenced risk of mortality at 60 days 8.01 times higher (95%CI 1.86 - 34.7, Wald = 7.8, p = 0.005) in patients malnourished and with heavy caloric deficit in the first ICU week at the same time when compared with patients without these two risk factors (controlled by sex, age and APACHE II).
Both the univariable and the multivariable logistic regression evidenced no relationship between siRNA efficacy and mRNA target secondary structures.
For all regressions, evidence is strong of a positive relation between returns and illiquidity, significant at the 1% level.
On the other hand, recent meta-regression evidence has shown good support for Control Theory (Dombrowski et al., 2012; Ivers et al., 2012; Michie et al., 2009); however, this was identified in only one article in our review.
In the case of 'independence' additional independent variables were tested in the regression where evidence suggested their potential in improving the explanatory power of the model.
Logistic regression techniques evidence that the Baux Score, the Edlich Burn Score, and the Zawacki Score highly correlate with burn patient survival [ 1].
Furthermore, the fact that the TG associations remain when BMI is used as a covariate in stepwise regression provides evidence that the TG module associations are not due to differences in adiposity between the subjects.
This regression provides evidence that subjects with IAA levels ≥80 nU/mL who received oral insulin before type 1 diabetes onset have delayed progression while on oral insulin, but once treatment ended, the risk of type 1 diabetes increased to the level observed in the placebo group.
The paper shows a robust and statistically significant positive correlation between gross locational capital flows over GDP and the onset of financial crisis, using linear probability models and logit regressions, providing evidence for the hypotheses.
Meta-regression revealed evidence of an impact of mean change in BMI on diabetes resolution (P < 0.01).
