Sentence examples for minimized potential biases from inspiring English sources

However, using the same stringent criteria for selecting and classifying cases minimized potential biases.

Our study minimized potential biases by profiling global serum miRNA expression patterns in samples obtained from women prior to clinical diagnosis (mean time to diagnosis was 10 months).

These minimized potential bias – either referral bias or bias regarding emerging cognitive impairment, as the study involved older adults.

Overall, we believe that we achieved similar countywide coverage for cases and controls and minimized potential bias due to geographic differences in ascertainment related to iAs exposure.

Using own Aegilops LTR references instead of LTR regions available in databases minimized potential bias due to divergence between TEs from Aegilops and those described in TREP (i.e., mainly from Triticum) and allowed collecting a larger sample of reads.

Several reviewers attended to identify all these articles and we used subgroup analysis, which minimized potential selection biases and ensured accuracy of the abstracted data.

The population-based study design and high overall response rate (80%) minimized potential selection bias.

The availability of prospectively collected data on covariates minimized potential recall bias and allowed us to control for potential confounding factors such as age, BMI, physical activity, and fruit and vegetable intake in our analyses.

Women are the primary beneficiaries of the CBN services offered by the CHWs, and because vaccination uptake is 98% and antenatal care is sought by over 90% of women [ 17], this approach minimized potential selection bias.

Second, although substantially high participation rates among both eligible case and control subjects minimized potential selection bias, the use of cancer-free patients as controls, whose dietary habits may have differed from the general population due to health consciousness or disease concerns, might have lead to selection bias.

How will they assess address potential biases?