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Recently, automated brain mapping methods, such as tensor-based morphometry (TBM) of structural MRI, have outperformed cognitive measures in their precision and power to track disease progression, greatly reducing sample size estimates for drug trials.
First, it is less likely that an animal vaccinated with PZP will conceive at all, thus reducing sample size.
Another limitation is that sequence variation, especially in non-transcribed sequence, often impedes the alignments on which the analysis depends, thereby reducing sample size and power [6], [7].
The use of composite outcomes in RCTs is common, particularly in cardiology[3] having the advantage of reducing sample size requirement, costs and time because of higher event rates.
Despite reducing sample size by ∼2/3, this procedure strengthens the observed effect, with a highly significant departure from the null now apparent at the shallowest cutoff depth (Table 1 part B; Figure 2).
Data analysis excludes non-clinical providers reducing sample size to 822.
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In contrast to traditional strength tests on small animal bones, fracture mechanics tests display smaller variation and therefore offer the possibility of reducing sample sizes.
Chances for an improved targeting of the monitoring system as part of a risk-based approach are discussed with the perspective of reducing sample sizes.
This capacity can enable researchers to better circumscribe the sample population used for clinical testing, thereby reducing sample sizes and better adjusting the study to local contexts.
There is increased interest in using alternative end points in clinical trials to shorten trial duration and reduce sample size.
Double sampling ¯¯¯X control chart (DS) which is a Shewhart-type chart can reduce sample size and detect small process shift fast.
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