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Our data was not sampled at a fixed rate.
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The nested model is appropriate because data is not sampled in a truly randomized fashion as expression points are harvested in batches defined by hybridizations (or individual CEL files).
If data were not sampled from Gaussian distributions, a nonparametric test (Mann–Whitney U test) was used.
If data were not sampled from Gaussian distributions, a non-parametric test (Mann-Whitney U test) was used.
One of the limitations in the present study is that it is not possible to produce risk maps at the lowest administrative units as the DHS data is not sampled by clustering the region/country by the lowest administrative units, called Wereda.
Data of in situ breast carcinoma were not sampled.
Unlike cross-validation, which uses sampling without replacement for constructing test and training data sets, 0.632 bootstrapping employs sampling with replacement, constructing the training set from data sampled with replacement and the test set from the remaining data that weren't sampled.
Where conventional susceptibility data was not available, samples were excluded from analysis for that drug.
If your data was not organized with sampling in mind, you may face some pretty interesting technical challenges.
Histology data was not available on samples included in study 1, which were part of a large backlog of specimens accumulated after the foot and mouth outbreak of 2001.
Using prediction analysis for microarrays [ 27], predictors for breast cancer receptor status (ER, PR, HER2) and molecular subtype (Luminal A, Luminal B, Her2, Basal) were implemented using samples and clinical data (was not available for every sample) provided by TCGA.
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CEO of Professional Science Editing for Scientists @ prosciediting.com