Sentence examples for assuming screening from inspiring English sources

Without cross-protection, and assuming screening begins at age 25, we project that cytological abnormalities can be reduced by 27% with 80% coverage.

Predicted uptake of screening-naive subjects for FOBT, FS and TC screening was 45, 58 and 58, respectively, assuming screening with the reference level for RR and screening interval.

Assuming screening in a 96-well plate format and a conservative estimate of 5 h per plate for reaction assembly and data collection, testing 10000 MMP substrate combinations will require approximately 22 days of continuous processing.

Assuming screening could start somewhere between ages 35 and 65, we derived prevalence input data for the model using the SEER program age-specific incidence rates for both DCIS and invasive cancer from 1998 to 2002 [ 19].

The lead-time values and overdetection proportions used for the model were taken as average values simulated by a replica of the Markov lead-time model fitted by Draisma et al (2003) for 'relevant' cases (detections that were not overdetections), stratified by age (within 5 years) and biopsy Gleason score (<7, 7, >7), assuming screening with 100% attendance every 2 years.

We calculated the increase in costs per LyG when taking into account both the unrelated healthcare costs of dying (Table 1) and the unrelated healthcare costs during LysG (Table 2), by gender and age at which death is prevented (postponed), undiscounted and discounted (costs and LysG by 3% towards the age of 50 years, assuming screening starts at that age).

The number of induced breast cancer deaths is hardly affected by the assumed screening effectiveness or test sensitivity for women below age 50.

21 Any departures from the targeted screening age have probably had little impact on the given estimates, indicated by the smooth estimates for age specific incidence around the assumed screening age (fig 4).

We calculated the absolute risk reduction (reduction in absolute death risk), the number needed to screen assuming repeated screening, and the survival percentages without and with screening.

It was estimated that a sample size of 90 participants per county was needed to achieve 80% power to detect a difference of 10% in screening rates assuming a screening rate of 32% in the comparison arm (based on Ohio BRFSS data) and an Intraclass Correlation Coefficient (ICC) of 0.0046.

In using the adaptive statistic to estimate the effect of screening in a trial with follow-up after the end of screening, we assume that screening does not increase cancer mortality after some point in time.