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Survival bias may also affect the estimate of carrier mutation frequency.
Recall bias may also affect the dating of the last menstrual period.
Recall bias may also affect responses about events in some of the responses.
Recall bias may also affect the intervention group mothers' estimates of exercise taken, because the data was gathered only once every trimester of pregnancy.
Sample bias may also affect collections in databases (e.g. TCGA), which might explain the comparatively low prevalence of ZEB1 (and other EMT-related factors) in these datasets.
It has also been proposed that immortal time bias may also affect the hierarchical cohort design used in the study by Soriano and colleagues (20).
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Study population criteria, such as preterm and term children, size of the cohort as well as methods of data collection, potential recall bias and selection, may also affect the results.
We will also adjust for a range of potential confounding factors which would be expected to reduce the effect of this bias Residual confounding may also affect the findings, as certain potential confounding variables may not be recorded on the database or may not be recorded in sufficient detail to completely remove their confounding effect.
The timing of studies in other disciplines may also be slower, as compared to the rapid generation of results in genomics, and this may also affect the relative bias in replication results.
Biases in the distribution of attention and/or in the mental representation of space may also affect some aspects of language processing.
Therefore, indication bias may exist when insulin is used in patients having more comorbidities and using more concomitant drugs that may also affect the risk of breast cancer.
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