Sentence examples for bias in choice of from inspiring English sources

Characterisation of bias in choice of nursing homes requires harmonisation of the Veterans Affairs and Medicare databases, which has not yet been achieved.

Funnel plots and contour-enhanced funnel plots were used to assess bias, including publication bias, in choice of trials as well as a generic tendency for smaller trials to report stronger effects.

Reasons for this increase include self-reported selection bias in choice of patients with higher Karnofsky Performance Status (KPS) and smaller tumor size [ 4], though future studies would later qualitatively confirm the presence of a steep learning curve in the surgical procedure [ 8, 9].

In particular, while attempts were made to reduce bias in choice of centres taking part in the study, it remains possible that centres more likely to take part might have good relationships with the sponsor, a suggestion somewhat countered by the frequent use of premix insulin in the population studied.

As a consequence, there exists selection bias in the choice of the affected villages.

However, there could be selection bias in physicians' choice of speciality, such that, as a group, those who choose anaesthesiology may be more resilient following on-call work and sleep loss.

Of note in the ROC-like plot depicting our target capture data (Fig. 3A), the slightly decreased slopes of GASV and VariationHunter in comparison to HYDRA are likely not due to true underperformance but rather to selection bias in our choice of candidates to validate.

The most likely explanation for this discrepancy seems to be some form of bias in the choice of markers.

The effect of ascertainment bias in the choice of SNPs for different SNP chip platforms has been discussed in the literature [ 34], but the HD chip was constructed using a larger number of indicine breeds and individuals in the reference population, and in general seems to perform better on Bos indicus individuals, than the Illumina BovineSNP50 BeadChip [ 18].

We hypothesize that the discrepancy between our results and those of [5] is due to a systematic bias in the choice of the 190 validated targets in [5]: many of those targets may have been selected for experimental validation because they were predicted by computational methods based on conservation.

37 Major strengths of our study include its size and national coverage, hence avoiding selection and reporting effects (bias) in the choice of cases and areas for study.