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Specifically, we consider mappings from the original process to an approximate process defined on a significantly smaller sample space.
Table 4 also shows visual acuity <0.1 noted in a significantly smaller sample of patients (i.e., between 0.1 and 0.5).
The results are given in table 2. As we expect, and as the results clearly indicate, the hybrid design typically requires a significantly smaller sample size.
The finding that a significant proportion of variance (28%) is related to the desired behaviours of a candidate resonates with Dore et al's study, which included a significantly smaller sample size.
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Studies performed in children had significantly smaller sample sizes, showing a positive association between these two factors [ 42], while other studies showed no association [ 45].
However, in addition to the significantly smaller sample size and a different ethnic background, Ohno et al did not include commonly used prognostic factors in their multivariate model, such as tumour grade or histologic TN (Sun et al, 2011).
Unfortunately, we were not able to make a strict comparison of our data with data from recent studies in Southeast Asia (14, 15 ); these studies used significantly smaller sample sizes and a different selection criterion for the patients screened (i.e., LRTI [ 14 ] and wheezing and asthma [ 15 ]).
Using this design it is possible to generate statistically efficient designs that require significantly smaller sample sizes to obtain reliable parameter estimates.
Previous studies seeking cellular abnormalities in the family members of lupus patients focused on a limited number of phenotypes, including examination of antibody-secreting cells, NK cells, and CD56+ T cells, and had significantly smaller sample sizes.
Moreover, these changes were quantitative but not qualitative, which was partly due to the significantly smaller sample size in the CKD group when proteinuria was used to define CKD.
"The new technique uses a significantly smaller blood sample to traditional blood-smear methods, and is more sensitive and less error-prone," says Donhee Ham, professor of electrical engineering at Harvard University.
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