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The SRE selected on the basis of waveform similarity excludes bias by the selection of sequence; the models using the Bayesian approach and small sample theory adapt fairly well to small samples and the open-ended interval.
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After struggling to exclude bias from every individual study, doctors and academics would then synthesise that evidence together with frightening arbitrariness.
Evidence-based practice can help us identify and exclude bias from research, but information published by the government, professional bodies, charities and industry all have some degree of spin.
We design experiments carefully like this to exclude bias: to isolate individual factors, and ensure that the findings we get really do reflect the thing we're trying to measure.
The application of certain inclusion and exclusion criteria created a homogeneous group of patients (those who had sustained uncomplicated medial StD), excluding bias due to nonsimilar injury patterns.
Furthermore, no new MO cases occurred during this period, which was long enough (dialysis duration at least 1 year in 70% of patients and at least 6 months in >98%) to exclude bias due to too short an observation period.
Alternatively, we performed pair wise comparisons with fibroblasts from the same dermal location to exclude bias by sampling from different anatomical sites, and these results were very similar (data not shown).
In addition, analyses of both (whole) lungs would have provided more definitive information about pulmonary kinome profiles, since this approach would have excluded bias due to unequal left-right distribution of the infection.
First, the retrospective nature of the study cannot exclude bias.
Furthermore, by anomyzation during data analysis, we excluded bias as much as possible.
Nor can we confidently exclude bias from the examiners in the way that they assessed non-white candidates.
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CEO of Professional Science Editing for Scientists @ prosciediting.com