StatisticsCode - HL7 Terminology (THO) v5.5.0

HL7 Terminology (THO)
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HL7 Terminology (THO), published by HL7 International - Vocabulary Work Group. This guide is not an authorized publication; it is the continuous build for version 5.5.0 built by the FHIR (HL7® FHIR® Standard) CI Build. This version is based on the current content of https://github.com/HL7/UTG/ and changes regularly. See the Directory of published versions

CodeSystem: StatisticsCode

Official URL: http://terminology.hl7.org/CodeSystem/observation-statistics		Version: 1.0.0
Draft as of 2020-04-09	Responsible: Health Level Seven International	Computable Name: StatisticsCode
Other Identifiers: urn:ietf:rfc:3986#Uniform Resource Identifier (URI)#urn:oid:2.16.840.1.113883.4.642.1.1126
Copyright/Legal: This material derives from the HL7 Terminology (THO). THO is copyright ©1989+ Health Level Seven International and is made available under the CC0 designation. For more licensing information see: https://terminology.hl7.org/license

The statistical operation parameter -“statistic” codes.

This Code system is referenced in the content logical definition of the following value sets:

This case-sensitive code system http://terminology.hl7.org/CodeSystem/observation-statistics defines the following codes:

Code	Display	Definition
average	Average	The mean of N measurements over the stated period.
maximum	Maximum	The maximum value of N measurements over the stated period.
minimum	Minimum	The minimum value of N measurements over the stated period.
count	Count	The [number] of valid measurements over the stated period that contributed to the other statistical outputs.
total-count	Total Count	The total [number] of valid measurements over the stated period, including observations that were ignored because they did not contain valid result values.
median	Median	The median of N measurements over the stated period.
std-dev	Standard Deviation	The standard deviation of N measurements over the stated period.
sum	Sum	The sum of N measurements over the stated period.
variance	Variance	The variance of N measurements over the stated period.
20-percent	20th Percentile	The 20th Percentile of N measurements over the stated period.
80-percent	80th Percentile	The 80th Percentile of N measurements over the stated period.
4-lower	Lower Quartile	The lower Quartile Boundary of N measurements over the stated period.
4-upper	Upper Quartile	The upper Quartile Boundary of N measurements over the stated period.
4-dev	Quartile Deviation	The difference between the upper and lower Quartiles is called the Interquartile range. (IQR = Q3-Q1) Quartile deviation or Semi-interquartile range is one-half the difference between the first and the third quartiles.
5-1	1st Quintile	The lowest of four values that divide the N measurements into a frequency distribution of five classes with each containing one fifth of the total population.
5-2	2nd Quintile	The second of four values that divide the N measurements into a frequency distribution of five classes with each containing one fifth of the total population.
5-3	3rd Quintile	The third of four values that divide the N measurements into a frequency distribution of five classes with each containing one fifth of the total population.
5-4	4th Quintile	The fourth of four values that divide the N measurements into a frequency distribution of five classes with each containing one fifth of the total population.
skew	Skew	Skewness is a measure of the asymmetry of the probability distribution of a real-valued random variable about its mean. The skewness value can be positive or negative, or even undefined. Source: Wikipedia.
kurtosis	Kurtosis	Kurtosis is a measure of the "tailedness" of the probability distribution of a real-valued random variable. Source: Wikipedia.
regression	Regression	Linear regression is an approach for modeling two-dimensional sample points with one independent variable and one dependent variable (conventionally, the x and y coordinates in a Cartesian coordinate system) and finds a linear function (a non-vertical straight line) that, as accurately as possible, predicts the dependent variable values as a function of the independent variables. Source: Wikipedia This Statistic code will return both a gradient and an intercept value.