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In a multivariate model analyzing factors associated with overall transition preparedness, males were significantly more likely to report being mostly/completely prepared (odds ratio [OR] 2.76 [95% CI 1.48 5.15]).
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39, 40 We evaluated seriousness, estimated potential predictors of ADRs requiring hospitalization using a multivariate model, and analyzed 30-day mortality.
Finally, variables that were associated with overall mortality in adjusted analyses were included in the same multivariate model to analyze their independent effects.
Table 4 shows the distribution in the first (1992 1993) and second (1998 2001) health assessment phase of the covariates included in the multivariate models for analyzing the association between change of air pollution and change of prevalence.
Then, we built multivariate models for analyzing RDI RDDI < 85% or ≥85%) and survival including all variables associated with these outcomes in bivariate analyses at the threshold of 0.2 (data not shown).
Table 4 presents the results of multivariate logistic regression models analyzing the association between maternal education levels, STS, and overweight in 4 6-year-old children.
Variables that were significant at p < 0.05 were included in multivariate logistic regression models analyzing independent risk factors for hyperphosphatemia or hypophosphatemia.
Table 3 shows the results of multivariate logistic regression models analyzing the association between maternal educations, STS, and wheezing among 4 6-year-old children.
Two multivariate models were analyzed.
The use of multivariate models to analyze SPC incidence with cancer registry data will provide new research perspectives.
Our sample size limited the use of multivariate models to analyze each type of case separately by p53 status, though univariate analyses suggested that the association between risk factors and p53 status were similar in magnitude across the separate types of cases (adenomas, CIS, and IM) (data not shown).
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