Sentence examples for bias resulting from differences from inspiring English sources

Within each lane, random combinations of four different half libraries were injected to reach a balanced experimental design [ 66] and to reduce sequencing bias resulting from differences in sample amplification efficiency of different libraries.

However, bias resulting from differences in education and patient healthcare provider interactions is largely prevented by this study design.

Some analytical methods reduce bias resulting from differences between allele-specific reads and a single reference by the use of multiple strain specific references (e.g., [ 46, 48]) or by allele augmented references [ 47, 51].

Only patients admitted to the ICU within 24 h of arrival at the emergency department were included in the study to minimise bias resulting from differences in disease severity/prognosis on presentation.

The air samples were analysed throughout the course of the data collection with some samples from the pregnancy visits and post-partum visit being analysed at the same time, therefore reducing the likelihood of bias resulting from differences in timing of analyses.

Since patients with type 1 HRS are subject to rapidly increasing mortality, crude mortality data are vulnerable to bias resulting from differences in duration of follow-up, and only survival data with accounting for time at risk were used in the meta-analysis.

This could reflect recording bias or information biases resulting from differences in family history among women or greater opportunity for the information to be recorded as women tend to have higher consultation rates than men.

We used individual-level data to ascertain risk factors and other population variables and included them in statistical models for risk adjustment to minimize possible biases resulting from differences in these factors.

One possibility was a differential distribution of demographic correlates of HIV infection by gender, the other a possible selection bias resulting from gender differences in the probability of presenting for VCT only after becoming symptomatic.

In this analysis we are unable to assess the effect of true participation bias, that is, the potential from bias resulting from systematic differences between participants and non-participants, on whom limited information was available.

Despite efforts to minimize the effect of recall bias by adjusting for factors related to the accuracy of self-reported family history and with the disparity in MM incidence by race (i.e., age, sex, race, education) [ 25, 39], residual bias resulting from potential differences in case control reporting may lead to an overestimation of risk.