Sentence examples for gender estimates from inspiring English sources

In three studies where gender estimates were provided, women reported more pain than men [ 73, 78, 89].

There were no significant interaction effects between dual practice and gender (estimates not shown), indicating that dual practice affects the labor supply in public hospitals similarly in both genders.

This finding again held if additionally controlling for the nuisance variables previously related to cardiac perception performance (entering age, gender, estimated IQ, physical activity, time estimation error, HR belief accuracy, and BMI at step one of the regression).

The interaction also held if additionally controlling for all of the possible nuisance variables that have been linked to interoceptive awareness in previous research (entering age, gender, estimated IQ, physical activity, time estimation error, HR belief accuracy, and BMI at step one of the regression), Δ F 1, 23) = 14.38, p <.001, Δ r =.21, r total =.66.

Fig. 9 Using a computer for playing games (outside of school) by gender (estimated percentages across all participating countries).

The best model for FI (energy), explaining 89.3% of variability, included 'hunger' score, age, gender, estimated basal metabolic rate, and study site.

In Japan, technology company NEC has already developed a system which can work out a person's gender, estimate their age, and serve up adverts suited to that demographic.

However, while analyzing the association between the eight SNPs and plasma FVIII levels, subjects with T/T genotype of rs1800137 (vs. CC + CT) were found to be associated with higher FVIII levels (23.5 IU/dL; 95% confidence interval, 7.4 39.5 IU/dL; P = 0.0044) after adjusting for age, gender, estimated glomerular filtration rate, O blood type, inflammatory state, and body mass index.

Associated covariates including age, gender, estimated prognosis, geographic location, and disease diagnosis, were examined using chi-square to determine significant relationships.

Pharmacy type and location, pharmacist gender, estimated age and busyness and the time of day the visit was performed did not significantly impact on anaphylaxis preparedness, and were excluded from the final model.

Pharmacy type and location; pharmacist gender, estimated age and how busy they were (as a ratio of total customers in store to total pharmacy staff); time of day the visit was performed; type of autoinjector demonstrated; and anaphylaxis engagement score were covariates.