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Pleural invasion and tumor grade were not significant in this multivariate model, after controlling for other variables.
The effect was similar in direction and magnitude in the final model after controlling for additional antenatal factors (OR, 0.82; 95% CI, 0.65 to 1.04 P: =.1.04 P
This result changes only slightly to 0.55 (0.13) in a DE model after controlling for smoking and BMI.
In a logistic regression model, after controlling for potential confounding by clinical and behavioural predictors of preterm delivery, unintended pregnancy was significantly associated with preterm delivery (adjusted RR = 1.82, 95% confidence interval [1.08,3.08], P = 0.026).
In the multivariate analysis, temporal trends in efficacy were assessed by using a Cox regression model after controlling for known risk factors such as age, parasitaemia at baseline, and mixed parasite infection.
The data were tested with a mixed regression model after controlling the clustering effect of students in classes.
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The levels of security needs and benevolence were also statistically important factors in all models, after controlling for gender, income and ideological preferences.
Regression coefficients of these exposure biomarkers except bisphenol A remained significantly in the multiple regression models after controlling for age, sex, weight, smoking, and exercise for at least one of the two oxidative stress biomarkers (P < 0.05).
Third, the associations between FISH markers and cancer status were assessed individually and in multiplicity models after controlling for clinical and biological parameters, such as smoking status and histology grade, using multiple logistic regression.
However, in multivariate time-varying Cox models, after controlling for immune and virologic parameters over time and non-PCP fungal infections, baseline CD4+ T-cell count, CD4+ percentage, and HIV RNA levels were predictors of IRIS, consistent with previous research [7], [12], [21].
* p < 0.05; † p < 0.01; ‡ p < 0.001 P values were obtained from GEE models, after controlling for time.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com