We found no difference in the values of odds ratio or association.

For the above threshold, the odds ratio was about 22.

An odds ratio can be an estimate of relative risk.

Odds ratios were used to quantify risk in our population.

For depression the odds ratio was 9.50 among Bosnian women.

In the latter settings an odds ratio of 3 is often considered large.

An odds ratio equal to one suggests the lack of an association between individuals.

The significant difference observed among men was consistent and showed rather similar odds ratios throughout the study period.

Odds ratios have often been confused with relative risk in medical literature.

Figure 2 shows the odds ratios over 18 months for all trials with 95% confidence limits.

Higher diagnostic odds ratios are indicative of better test performance.

Similarly, increased odds ratios were found for different age strata.

The odds ratio must be nonnegative if it is defined.

On the other hand, an odds ratio greater than one will indicate clustering of disease within the families.

An odds ratio greater than 1 indicates that the condition or event is more likely to occur in the first group.

The odds ratio of improvement and its 95% confidence interval were also calculated.

Results are presented as adjusted odds ratios and 95% confidence intervals.

Odds ratios were also calculated for the different factors.

Several approaches to statistical inference for odds ratios have been developed.

Four different confidence limit methods for the odds ratio.

To compare effect sizes of the interactions between the variables, odds ratios are used.

However, the odds ratio is easier to interpret in the logit model.

They use something called an odds ratio instead.

Odds ratios were calculated for the risk of fracture in the arthritic women.

Odds ratios were used to determine the magnitude of the association between two dichotomous variables.