Z score

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Z score

[′zē ‚skȯr]
(statistics)
A measure of how many standard deviations a raw score is from the mean.
References in periodicals archive ?
Confidence intervals evaluating changes from baseline in annualized growth velocity, Z-scores, and upper-to-lower body segment ratio were considered descriptive and no adjustment for multiplicity was made.
Body mass index (kg [m.sup.-2]) and body mass index z-scores (BMI-z) were calculated.
Weight-for-length z-scores were not normally distributed; therefore, non-parametric tests were used.
Z-scores indicate the number of standard deviations below or above the population mean.
According to the definition by International Society of Clinical Densitometry from 2008, these patients having Z-scores below -2 SD, between -1 and -2 SD, and above -1 SD were accepted as low (osteoporosis), decreased (osteopenia), and normal respectively Z-scores were classified as <- 1 (pathological) and >- 1 (normal) when statistical analyses were done [8].
But companies that have Z-scores of 2.99 and above are regarded as financially healthy while those that fall in between 1.81 and 2.99 are the companies that warrant further research.
Previously, it was reported that the median BMI z-scores were positive for men and for early childhood and decreased with age [23].
Second, one-way analysis of variance (ANOVA) or Brown-Forsyth tests were used to assess differences in the mean z-scores for height-for-age and BMI-for-age.
Z-scores for BMD, both for chronological age (CA) and BA were calculated according to BMD reference data for healthy Turkish children (8).
BMI and BMI z-scores were determined by using age- and sex-specific reference data from the WHO.