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In addition, future studies of gene disease associations and gene environment interactions with rare variants may be limited by insufficient sample sizes when analyses are performed separately for each race/ethnic group and control for large numbers of variables.
Overall, however, the success of this approach has been mixed, and greater progress has been hindered by insufficient sample sizes, stratified populations, the involvement of rare gene variants (i.e., alleles) that each only have a small effect size, and heterogenous phenotypic constructs (i.e., using different criteria to distinguish cases from controls).
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In similar way, the potential error of assessing landslide hazard caused by insufficient sample size can be estimated, given the relationship between landslide size and landslide intensity is provided.
Most studies to date have recruited only one cohort of athletes and were therefore hampered by insufficient sample size.
Our inability to detect viruses throughout the year, over multiple seasons, may be partially explained by insufficient sample size.
It is also due to inter-ethnic differences, population stratification, differences in phenotype definition and study design, effects of and confounding by known and unrecognized non-genetic factors in part due to cohort effects, and exacerbation by insufficient sample size.
* Because of insufficient sample sizes we were unable to disaggregate the data by province.
Average star ratings are often based on insufficient sample sizes — but consumers trust them anyway.
Lack of a priori defined sample size calculations leading to insufficient sample sizes and ultimately insufficient statistical power [73]; studies with an insufficient sample size can thus lose their ethical justification [74].
Second, insufficient sample sizes limited the reliability and sensitivity of published analysis programs.
So previous studies with negative results may be due to insufficient sample sizes [9 11].
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