Adjusting for gender and age, only SOC (OR 0.91, [95%CI: 0.87-0.95]) and ventilator treatment (OR 4.98, [95%CI: 1.67-14.83]) were significantly associated with PTSS symptoms.
Adjusting for gender, ethnicity and age only slightly changed the p value to 0.069 and the OR to 0.78 [95% CI 0.58 1.02].
Adjusting for gender, age, treatment, and treatment-25(OH D interaction, the results were unchanged.
Adjusting for gender revealed an association in girls (but not in boys), which was insensitive to adjustment for respiratory infections.
Adjusting for gender, age, and race/ethnicity, a significant intervention effect was found only for the high-risk class.
A covariate-adjusted analysis would involve adjusting for gender and disease stage as two separate variables in a regression model.
The same logistic regression analysis adjusting for gender was utilized for the secondary efficacy endpoints with no adjustments for multiplicity.
We performed crude and multivariate analyses adjusting for gender, birth weight, birth order, maternal age, hospital, and type of delivery.
Multivariate analysis, adjusting for gender and insurance status, confirmed the effect of older age on refusal (OR=2.3 (1.4, 3.6)).
However, these associations disappeared after adjusting for gender, age, and BMI.
Cox's proportional hazard analysis, adjusting for gender and age, showed that the presence of a concomitant wrist fracture did not significantly affect mortality (p = 0.45) (Table 2).
