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In some cases, it may be possible to combine clusters of results to form a more relevant but broader Gaussian or Cauchy prior.
When using clusters of results as prior information, however, we highlight that one should be careful that the given cluster is relevant to the curve to be analysed, so as not to obtain to misleading results.
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Clustering control parameters define how the clustering of results will proceed.
This clustering of results by research groups appears highly unlikely, suggesting the presence in these studies of confounding factors which might be causing skewed results.
The clustering of results by research group appears highly unlikely, suggesting the possible presence of confounding factors which could lead to distorted results.
Let's begin with last week's cluster of results.
PCR and ELISA assays were also reviewed for clustering of results that might suggest contamination and sample spill-over.
To examine the effect of smoke on tissue ultrastructure, we used linear regression to control for clustering of results within individual mice.
Most studies do not give exact definitions of the symptoms, making clustering of results difficult.
Bootstrap methods obtained 95%% confidence intervals empirically, accounting for the correct clustering of results within readers and cases.
Specifically, it first returns a coarse level clustering of results using MeSH, offering an opportunity for users to restrict their search to certain categories of interest.
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