Sentence examples for mean annual proportion from inspiring English sources

The mean annual proportion of DD therapy estimated from GEE models started decreasing after 2005 in all NICE patient groups.

The mean annual proportion of detected Salmonella contaminated samples from all imported shiploads was 34.3% with a range from 11.5 to 62.3%.

From the GEE models, a reduction in the mean annual proportion of patients prescribed BB as monotherapy was also observed for all NICE patient groups over the period.

From the GEE models, the highest mean annual proportion of hypertensive patients on CCB monotherapy was observed in black patients over the study period.

Among the influenza virus positive specimens, a mean annual proportion of 68.8% (range 52.0%–78.1%) were positive for influenza A virus, compared with 31.2% (range 21.9%–48.0%) for influenza B virus.

The mean annual proportion of placenta praevia for public patients in public hospitals decreased by 5.4%95%5% CI −7.8%to−2.9%9%), but increased by 7.1%95%5% CI 4.0%too 10.3%) for private patients in private hospitals.

The list populations were characterised by the proportion of males, mean age in the list population, educational level, mean annual income, the proportion of disability pensioners, and the proportion of recipients of social assistance on the list.

The median annual proportion of milk samples with a composite somatic cell count (PSCC) above 200,000 cells/ml was 16.1 (mean 17.3) %.

There was an association between a high rate of meetings and lower socioeconomic level in the list population when measured by mean annual income or proportion of patients with a low educational level.

Results of four separate multiple regression analyses with the frequency of each colour morph (orange, orange-yellow, yellow and grey) as the dependent variables and mean annual aridity index (aridity) and proportion cover of vegetation <1 m in height (vegetation) as the predictor variables.

Of the other variables included in our model, mean annual aridity index (aridity) and proportion cover of vegetation <1 m in height (vegetation) were the most important predictor variables (RIV = 0.90 and 0.89 respectively) for the observed geographic variation in morph frequencies (aridity: rpartial = 0.568, P = 0.004, vegetation: rpartial = 0.211, P = 0.180; Table  1).