The phrase "a blind data" is not correct in written English.
The correct expression would be "blind data" without the article "a."
Example: "The study relied on blind data to ensure unbiased results."
Alternatives: "blind dataset" or "unseen data".
While this online analysis helps guide product development, it's a blind data set that will only tell the story by the numbers.
A blind data review meeting that involved statisticians, the data administrator, principal investigators, and the sponsor was conducted to divide the study population.
This process is summarized in Fig. 2. The goal of this paper is to design a blind data analysis, i.e. without model fitting, to segment tumor from normal tissues in lumpectomy specimens using localized, measured broadband reflectance.
The mammary glands from tamoxifen-treated rats were less developed than those of untreated control animals, having fewer tertiary ducts and terminal end-buds, and could consistently be identified from a blind data set (Fig. 4).
Ideally we would have liked to test the model on a "blind" data set other than the GPSP data, but the lack of correlation between data sets brings into question the value of such a test.
After 6 weeks of treatment, we noticed that mammary glands from tamoxifen-treated rats were less developed than those of untreated control animals, having fewer tertiary ducts and terminal end buds, and they could consistently be identified from a blind data set (Fig. 4).
This approach allows a double blind data entry procedure to ensure accuracy and validity of data entry into the Registry.
The Monte-Carlo cross-validation (MCCV) was applied on the training set (as illustrated in Figure 2) and the validation was performed using a separate blind data set which is completely unknown to GANN and stepwise ANN.
NeuroShell randomly splits the data file into a training data set that consists of 80%% of the data (91 vectors), and a blind test data set consisting of the remaining 20%% of the data (22 vectors), used for validation purposes.
The GRNN model was trained with 91 samples and was successfully validated with a blind testing data set of 22 samples.
The first expert (TM), re-classified the 165 forearm fractures in a blind manner (data not shown) using the PCCF's "rule of the square".
