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Therefore, it is essential to conduct such studies with large samples.
Develop longitudinal cohort studies with large samples have difficulties related to the patient compliance and follow-up issues.
Therefore, in summing up the reliabilities across studies to a mean value, studies with large samples sizes will be more heavily weighted (1/standard error as weight) than studies with low sample sizes.
This proposal is consistent with two recent studies with large samples of typically developing adult twins that have found evidence for a genetic factor underlying face recognition where performance on face recognition tests were correlated more closely in monozygotic than dizygotic twin pairs [25] [26].
Therefore, further prospective studies with large samples are needed.
This study used data from two studies with large samples that enabled stratification by mothers' characteristics.
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Further studies with large sample sizes are warranted to validate these results.
However, additional studies with large sample sizes of migraineurs and controls seem warranted.
Thus, confirmatory studies with large sample sizes are required to validate this study.
First, confirmatory studies with large sample sizes are required to validate this study.
Further studies with large sample size and blinding are needed.
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