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Odds ratio logistic regression

As a part of logistic regression analysis, odds ratio plots are an excellent way to see how much more likely a condition is to exist based on the presence of another condition. Just by glancing at an odds ratio plot, you can see whether an independent variable is significant to the dependent variable. For instance, if the odds ratio confidence interval does not cross the value of 1, then the independent variable odds ratio is significant. Examine the following graph. [Pg.203]

Selected characteristics were compared between cases and controls by using test. The analyses of data were performed using the computer software SPSS for Windows version 11.5. Max type 1 error was accept as 0.05. Binary logistic regression was performed to calculate the odds ratios (ORs), and 95% confidence intervals (Cls) to assess the risk of breast cancer. [Pg.149]

In a retrospective analysis of 2774 women who had had one prior cesarean delivery, there was a 1% incidence of uterine rupture in women who were given oxytocin, compared with 0.4% in non-augmented controls with spontaneous labor (12). Six women needed emergency hysterectomy. The odds ratio for uterine rupture in the oxytocin-treated women was 4.6 by logistic regression analysis (Cl = 1.5,14). The small number of events limited the study it had only 30% power to detect changes of that magnitude. However, it is reasonable to proceed cautiously, with... [Pg.2658]

Odds ratios are one of the most common statistics cited from logistic regression analyses. [Pg.138]

A commonly reported statistic for logistic regression models is the odds ratio. An odds ratio, or the ratio of the odds for x = 1 to the odds for x = 0, may be calculated (14) as... [Pg.642]

Logistic regression analysis showed that female sex (odds ratio, 2.7 95% confidence interval, 1.7. 4), MDI (odds ratio, 1.8 95% confidence interval, 1.3—2.6), El (odds ratio, 1.5 95% confidence interval, 1.0—2.1), and high levels of thyroid autoantibodies (odds ratio, 1.7 95% confidence interval, 1.1-2.5) were risk factors for diffuse goiter. [Pg.1218]

Log-odds ratio. The logarithm of the odds ratio. A transformation very frequently used for modelling binary data. See logistic regression. [Pg.467]

Adjusted odds ratios were derived from a multiple logistic regression analysis in which each odds ratio was adjusted for all other factors listed. An odds ratio higher than 1 indicates that patients with the characteristic have a higher likelihood of having an intracranial hemorrhage than those without the characteristic. [Pg.219]

Using Poisson logistic-regression analysis, the risk of one or more colds in full-term infants during each month of the infants first 6 months of life was associated with an odds ratio (OR) of 0.94 (95% confidence interval [Cl] = 0.90-0.99, P= 0.015). Analysis of 364 preterm infants (333 of whom received liquid formula) showed no effect (OR = 1.05, 95% Cl = 0.96-1.14, P= 0.277). The authors concluded that the data suggest that carrageenan-containing liquid infant formula is not immunosuppressive and not associated with an increased frequency of upper respiratory tract infections in either preterm or full-term infants (Sherry et al., 1993). [Pg.74]


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