Sentence examples for normal transformation of from inspiring English sources

To account for this, we applied a rank-based inverse normal transformation of Ψ-values.

These authors modelled astigmatism as a continuous trait, using an inverse normal transformation of the refractive astigmatism averaged between the two eyes.

Let us consider the inverse standard normal transformation of both p-values and which are distributed as standard normal random variables under the null hypothesis.

The first method is a minimum of p-values (MinP-val), and the other is a sum test statistic based on inverse standard normal transformation of two p-values (SumP-val).

In addition, in order to allow a comparison with one of the external control cohorts, an association between the BMI and the FTO variants was also calculated after rank-based inverse normal transformation of the BMI values.

The associations of 2.85 million SNPs with WHR were examined in a fixed-effects meta-analysis, after inverse normal transformation of WHR and adjusting for BMI and age within each study in an additive genetic model; analyses were conducted for males and females combined (6) and limited to females only (7) (Table 3).

The normal transformation frequencies of the other 81 recombinants rule out major effects of ~1/3 of the donor-specific variation, including variation at 12 known competence genes.

Normal transformation zone of the cervix, the area where the vast majority of HSILs are found [ 30], is anatomically, histologically, and spectroscopically different from the normal squamous mucosa.

Each p-value obtained from permutations was transformed using the inverse standard normal transformation, and the value of p was estimated by a Pearson correlation coefficient.

Such digital data sources are typically generated as part of the normal digital transformation of business processes, but also to make the data more easily available to epidemiological studies.

For this reason, it was important to use a normal score transformation of the samples and a declustering technique, which are available as part of the simple kriging approach in the Geostatistical Analyst tool, to ensure that the histogram sample better reflects the population histogram (ESRI 2005, p. 211).