Sentence examples for screening the model from inspiring English sources

With no screening, the model predicted that 12% of cancers would be stage I at diagnosis, 25% stage II, 35% stage III, and 29% stage IV.

For each intervention, based on the sensitivity, specificity and frequency of screening, the model estimated the number of polyps that would progress to cancers.

Without screening, the model predicted an age-specific pattern of cervical cancer similar to historical rates (results not shown) (Parkin, 1966).

With a tremendous advance in SNP identification and automated screening, the model founded on haplotype discovery and statistical inference may provide a useful tool for genetic analysis of any quantitative trait with complex inheritance.

On the basis both of differing assumptions about evaluation conventions and of reasoned speculations as to how test parameters and costs might behave under screening, the model generates cost effectiveness ratios as high as around £20,000 and as low as around £7,000.

The predicted age-specific annual incidence of invasive cervical cancer in the UK population in the absence of screening is given in Figure 3. Assuming no screening, the model predicts a cumulative lifetime incidence of cervical cancer of 1.70% and an age-standardised incidence of 18.6 per 100 000 annually.

The AIC method was used to screen the models that satisfactorily simulate seasonal and integrated seasonal precipitation and the related distribution functions (Fig. 2).

Print to the screen the model parameter confidence values resulting from the last run of the confidence command (which may have been run for one or multiple data sets).

The model screens the less effective variables, combines the important parameters and selects the best outcome (Okenyi and Omeke 2012).

Incidental detection of asymptomatic aneurysms occurred in all scenarios (with or without screening) and the model acknowledged this incidental detection.

The objectives of this study are to: (1) screen the models that can forecast the precipitation behavior at a seasonal temporal scale; and (2) forecast precipitation changes while taking account of nonstationarity and uncertainty, including those stemming from climate oscillations.