Sentence examples for feasible sample size from inspiring English sources

Exact(9)

An approximate upper limit on the maximum feasible sample size is roughly twice the attenuation length (i.e. 13.5% transmission), so in this case about 300 μm.

Results indicate that sampling error can reach high levels and that minimum sample sizes for index estimation often amply exceed the limit of 20% of tree density or 20 trees per species per hectare, that we set as the highest feasible sample size in normal situations.

Linkage disequilibrium (LD) is a particularly important determinant of the power to detect a locus, while high levels of genetic diversity decrease the power of detection at a feasible sample size.

Activities related to primary school settings only; Activities related to care settings only PreS: Preschools; FDC: Family Day Care; PS: Primary school; Given the constraints discussed above, a logistically feasible sample size is estimated to be 80 schools.

A final limitation of the study is that the inclusion of detailed immunologic measurements and viral sampling limited the feasible sample size, and as a result the power for genetic analysis is modest.

Given the time and funding constraints a logistically feasible sample size is deemed to be 50 preschools and services; stratified as 20 member and 30 awarded for preschools and the LDC services.

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Similar(51)

Conclusions/ Significance: Reliable measures which represent aspects of communities potentially related to cardiovascular disease (CVD /risk factors can be obtained using feasible sample sizes.

In this paper, we want to develop some designs for non-inferiority randomized phase II trials with feasible sample sizes.

Just like typical market research, you want studies with the largest feasible sample sizes so you can separate the true marketing impact from the noise.

The estimates of effect size and power indicate that feasible sample sizes of individuals with 22q11.2DS will allow such replication, using a comparable design and approach.

More collaboration between statisticians and pharmacometricians is needed to help design clinical studies that provide meaningful results with feasible sample sizes.

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