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Sampling bias could also explain this observation.
Incomplete control for confounding or reverse causation bias could also explain the substantial risk in lean diabetes.
Selection bias could also explain relatively high proportion of patients with STEMI (58.4%) compared to NSTEMI in our cohort.
Selection bias could also explain the findings if nulliparous case subjects with the A1/A1 genotype who participated in the study are more likely to use oral contraceptives.
This bias could also explain the relatively high mortality in the group with high stoma rates; however, in our study this bias is largely overcome by comparing hospitals at both ends of the spectrum (either very high or very low defunctioning stoma rates).
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More likely, this bias could also explained by a modulation of the copy number or loss of this plasmid in this mutant.
A stronger inverse association for recent studies compared with earlier studies that we observed also could be partly explained by recall or selection bias because all the studies published before 2000 were case control studies.
Of course, an ascertainment bias towards severe cases could also explain the CVCR IQ data for ADHD and TS.
Although sampling bias and drift effects could also explain these differences, the genetic data corroborate historical chronicles that narrated frequent mass killings and deportations of mainly males during the conquest [ 1, 9].
This effect could also explain how a bias toward identifying play-acted stimuli as angry, and authentic stimuli as sad (as uncovered through the choice theory analysis), could occur with relatively low recognition rates for both emotion (in comparison with other studies) and authenticity (as compared with chance rates).
He could also explain the function of each internal organ.
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