A weight-for-length/height z-score (WHZ) compares a child’s weight to the weight of a child of the same length/height and sex to classify nutritional status. To use the charts to classify children’s nutritional status: Measure children 24–59 months of age or taller than 87 cm standing up (height).
The use of z scores has the advantage that it recognises that the spread of(or variation in) weights at one height may be different than that at a different height. Since the percentage of median' does not do this, its use may mean that children who are actually malnourished are not identified.
A Z-score describes your deviation from the mean in units of standard deviation. It is not explicit as to whether you accept or reject your null hypothesis. A p-value is the probability that under the null hypothesis we could observe a point that is as extreme as your statistic.
Row Z-Score is a scaling method for visualization in heat maps that helps enhance clusters of genes with similar trends in expression between samples. Z-Score is calculated by: (Gene expression value in sample of interest) - (Mean expression across all samples) / Standard Deviation.
The World Health Organization growth standards were used to calculate BMI-for-age Z-scores. BMI Z-score cut-points of 1.0, > 2.0, > 3.0 are recommended to define wasted, at risk of overweight, overweight and obese. However, rounded percentiles of the 3rd, 85th, 97th, and 99.9th are commonly used.Nov 28, 2017
The standard deviation and variance are the most commonly used measures of dispersion in the social sciences because: Both take into account the precise difference between each score and the mean. The standard deviation is the baseline for defining the concept of standardized score or "z-score".
Technically, a z-score is the number of standard deviations from the mean value of the reference population (a population whose known values have been recorded, like in these charts the CDC compiles about people's weights). For example: A z-score of 1 is 1 standard deviation above the mean.
|Classification||Size of coronary artery abnormality*|
|Dilation only||Z-score 2 to <2.5 or if initially <2, a ≥1 decrease in Z-score during follow-up¶|
|Small aneurysm||Z-score ≥2.5 to <5|
|Medium aneurysm||Z-score of ≥5 to <10 and absolute dimension <8 mm|
|Large aneurysm or giant aneurysm||Z-score ≥10 or absolute dimension ≥8 mm|
A weight-for-length/height z-score (WHZ) compares a child's weight to the weight of a child of the same length/height and sex to classify nutritional status. To use the charts to classify children's nutritional status: Measure children 24–59 months of age or taller than 87 cm standing up (height).
The Z-score describes how many standard deviations above or below a size or age-specific population mean a given measurement lies. This approach has major attractions in paediatric cardiology and is increasingly being adopted. As an example, the left ventricle will become larger in all children as they grow.