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In addition to evaluating the relationship between FVC% change and outcomes, our multivariable models provide information on patient characteristics associated with mortality, hospitalization, and AEx, adding to the literature on risk factors for these outcomes.
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Consistent with this, we found that inclusion of specific conditions within multivariable models provided better model fit than either a simple comorbidity count or Charlson comorbidity index, and were therefore more likely to adequately adjust for the effect of comorbidity on cancer survival.
Due to its exceedingly multicausal nature, the set of associated variables that remained associated with child diarrhea in the final multivariable model provide an excellent reflection of the diverse social and health inequities faced by Indigenous peoples in contemporary Brazil.
A multivariable model provided modest discrimination between patients who did or did not develop WHF (C-index = 0.68).
This multivariable model provides an estimate of the effect of each SNP when taking into account any correlation (due to LD or interaction) with the other.
Despite the lack of a statistically significant association of ΔMPR with the intervention among the minority taking insulin and an OGLA, for the group as a whole the multivariable model provided evidence that the improvement of MPR was a mediator of the intervention association with improved glycemic control.
Though complex, the multivariable models may provide descriptive insight into our observations and reveal the relative contribution of census, personnel, and location on two important activities occurring on rounds; time at the bedside and time spent on education.
Thus, the basis of more complex multivariable models is provided.
Unadjusted and partially adjusted multivariable models are provided in Additional file 1: Table S3.
Additional statistical information, including β-coefficients, standard errors, statistical significance tests, and goodness-of-fit statistics for all multivariable models, is provided in Table 1A, Technical Appendix.
We expand on [Walker & Humphreys (2006a). A multivariable analysis of the plasma vertical instability in tokamaks. In Proceedings of the 45th IEEE conference on decision & control (pp. 2213)] using a full multivariable model to provide a rigorous treatment of this problem, including the case in which some control coils are superconducting.
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