Sentence examples for model containing gender from inspiring English sources

Population density was statistically significant (P < 0.0001), compared with the model containing gender, age, the interaction gender*age, East Midlands and Scotland.

Table 3 gives the RRs for the best fitting model containing gender, age, the interaction gender*age, the Townsend score and the interaction Townsend*gender.

In a separate alternative multivariate logistic regression model containing gender, previous CV disease and the Framingham risk score as covariates, the odds ratio for developing RA in subjects with previous CV disease was 1.65 (1.21 to 2.24) (P <0.01).

Furthermore, Townsend score (as a composite), and then in separate models containing two of its components (non-car ownership and unemployment, but not housing tenure and household overcrowding) remained statistically significant (for overall Townsend score: P = 0.0181), compared with the model containing gender, age, gender*age, East Midlands, Scotland and population density.

Townsend score (as a composite) and then in separate models with all of its components (non-car ownership, unemployment, housing tenure and household overcrowding) was statistically significant (for overall Townsend score: P < 0.0001), compared with the model containing gender, age, the interaction gender*age, East Midlands and Scotland.

The first model contained gender, relative biology competency, participation context, and gender × participation context.

The best fitting model contained: gender, age, the interaction gender*age, the Townsend score and the interaction Townsend*gender.

In addition to these variables, the second model contained friend in group, and the third model contained gender.

All three of the top ranked models contained gender.

All three of the best models contained gender, relative biology competency, participation context, and the gender × participation context interaction.

Population density was associated with a statistically significant improvement in model fit (P = 0.0001) compared with the model containing age, gender and age*gender, but was not significant when compared with the model containing age, gender, age*gender and Townsend score (P = 0.1388).