Sentence examples for large selection bias from inspiring English sources

But because we are looking at a relatively short window (most individuals in both groups survive until this point) and because the groups are observationally so similar, this is unlikely to impart a large selection bias.

Each study excluded patients with missing data representing 24%% of all patients, incurring a large selection bias.

Significant differences between the characteristics of the prison and general population samples introduced a large selection bias that could have compromised the inferences based on our estimations.

Secondly the small sample size and low response rate introduces large selection bias into the results, especially in the un-powered gender analyses, and may over or understate the results achieved when used in the wider population.

However, because patients' needs largely determine the nurses' number of work contacts and because the numbers of non work-related conon work-relatedarable for nurses and contacts, wereo not expecomparablelarge selection bias accounts for the differenurses

Although participation rate was less than 50%, there did not seem to be a large selection bias in terms of age, gender, or pathology with affective disorders being the exception.

Smaller sample sizes in hospital-based studies may result in larger selection bias of cases and controls.

While this is a limitation of the analysis, it is common to any large database study, and the benefits of large database examination include the ability to study medical practice at large without selection bias.

The large number of included patients and the ability to study medical practice at large without selection bias.

The results have been presented for a large selection of bias currents (I0) and our proposed algorithm could largely outperform a similar algorithm, recently proposed, employing particle swarm optimization (PSO) algorithm and also the differential evolution (DE) algorithm.

[31] Treatment to lower serum homocysteine reduced risk by about 90% (compared with the risk in non-randomised untreated controls), an effect so large that selection bias is unlikely to account for the result.