Sentence examples for types of odds from inspiring English sources

The reason for such huge difference between these two types of odds ratio is this clinical feature had been observed in a large number of patients from group N (patients with negative test result).

Multinomial logistic regression was performed to find associations between specific dementia disorders and types of HF; odds ratios with 95% confidence intervals (CIs) were calculated.

Concurrent diseases were strongly associated with all three types of sleep disturbances (odds ratio = 3.34, 95% confidence interval = 2.84 to 3.94 at 6 months; and odds ratio = 3.29, 95% confidence interval = 2.80 to 3.88 at 12 months for difficulties in falling asleep).

For observational studies only, we also extracted types of effect sizes (odds ratio (OR) or hazard ratio (HR)), adjusted covariates, data sources, financial support, study period and conclusion of the trials (see Additional files 1, 2 and 3).

In Model 1, there are two types of homogeneity: homogeneity of odds ratios among centers and homogeneity of centers.

These results hold for each of the three types of bookmakers: fixed-odds, spread, and parimutuel.

To assess the influence of living in non-urban settlement types, the odds of diseases were assessed with settlement type as a sole explanatory variable (Model 1), then with the other community characteristics (Model 2), followed by a model adjusting for only individual-level characteristics (Model 3).

PTPN22, Protein tyrosine phosphatase nonreceptor type 22; RORi, Ratio of odds ratios of the interaction.

The genetic map was constructed with JoinMap 3.0 (Van Ooijen and Voorrips 2001) with parameters as follows: population type haploid, grouping logarithm of odds (LOD) score ≥6, recombination fraction ≤0.4, ripple value = 1, using the Kosambi mapping function.

The proportional odds ratio that results from ordinal logistic models is interpreted as odds of having both types of impairment against the cumulative odds of having either one impairment or none associated with one unit increase in the predictor (ie, pre-sarcopenia vs controls; sarcopenia vs controls).

In the multivariate regression model (Table 3), the variables independently associated with having had a BMD measurement were fracture history (a history of fracture reduced the odds of a BMD measurement) and type of insurance (compared to 100% self pay, all specified types of insurance increased the odds of having a BMD measurement), but not age category.