Sentence examples for estimates and screening from inspiring English sources

Exact(1)

Given that we used 63 horses (including three sequences from NCBI GenBank) in our analyses, our numbers are minimum estimates and screening more modern horses would undoubtedly reveal further domesticated lineages.

Similar(59)

Another study confirmed our findings and estimated that opportunistic screening outside the organised programme covered only 10% of the women [ 18], and noted that it was difficult to differentiate between diagnostic and screening mammograms using available statistics.

For other probabilities, the model used population-based estimates for screening mammography accuracy and diagnostic mammography outcomes specific to baseline exams.

It should be noted that we have wide confidence intervals on our overdiagnosis estimates, and the estimate of screening test sensitivity tends to drift to its boundary at 100%.

Similarly, primary root elongation was estimated by screening 10 DAS Arabidopsis SlIPT3 and SlIPT4 complemented plants.

The prevalence of plutWB1 was estimated by screening at least 10 males and 10 females per line.

In addition we did not use gold standard diagnostic criteria such as DSM IV for major depressive disorder rather relied on cutoff of PHQ-9 scores of ≥ 5 for point prevalence estimates for screened depression and score of ≥ 10 for cost-analysis estimates of those who may require treatment.

Such data-derived modelling is the preferred method of estimating and comparing screening performance because it can be based on a large enough sample to provide the necessary precision, the sample genuinely represents the population at large, and there are no missing values, with complete ascertainment of clinical events.

However the U.K. study reported a point prevalence estimate and the screening instrument used was not PTSD specific.

We constructed two by two tables of observed screen and outcome positive and negative instances to estimate screening test characteristics with 95% CIs around the positive and negative likelihood ratios.

We constructed two Markov models to estimate the extent of overdiagnosis: one to estimate screening parameters based on the Age trial data (parameter estimation model), and one to estimate overdiagnosis based on parameter estimates from the first model (overdiagnosis model).

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