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Randomization is a basis for the statistical inference of treatment effects without assumptions on the outcome generating process.
However, randomization provides a basis for the statistical analysis of the trial results [ 45].
The basis for the statistical analysis (non-inferiority) was a possible difference in the LN yield.
The Cosmin taxonomy for measurement properties were applied as a basis for the statistical analysis of this study [ 21, 22].
The fraction of times in which the random sample sets had higher (or lower) average scores than those of the IHRs provided the basis for the statistical significance.
The frequency of which the random samples had higher average scores than those of the IHRs provided the basis for the statistical significance.
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On the basis of the statistical theory for missing data, the genotype data can be partitioned into two parts The log likelihoods for the complete data (lcomp) and observed (incomplete) data (lobs) are given by Let U be the complete data score ∂ lcomp/∂ θ, and I the complete data information −∂ lcomp/∂ θ, respectively.
It is the basis for the primary statistical analysis.
The allele frequencies that are the basis for the following statistical calculations concerning clonal vs. sexual reproduction are listed in Table 2.
In the field of medical data processing, the theoretical basis for the use of statistical regression methods is the "law of large numbers".
The purpose of the ITT principle is to preserve the theoretical basis for the validity of the statistical results, specifically by eliminating the possibility that patients with known or unknown prognostic factors are systematically selected to a treatment [ 1].
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