StatisticsCode
draftThe statistical operation parameter -"statistic" codes.
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. |
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"div" : "<div xmlns=\"http://www.w3.org/1999/xhtml\"><p>This case-sensitive code system <code>http://terminology.hl7.org/CodeSystem/observation-statistics</code> defines the following codes:</p><table class=\"codes\"><tr><td style=\"white-space:nowrap\"><b>Code</b></td><td><b>Display</b></td><td><b>Definition</b></td></tr><tr><td style=\"white-space:nowrap\">average<a name=\"observation-statistics-average\"> </a></td><td>Average</td><td><div><p>The <a href=\"https://en.wikipedia.org/wiki/Arithmetic_mean\">mean</a> of N measurements over the stated period.</p>\n</div></td></tr><tr><td style=\"white-space:nowrap\">maximum<a name=\"observation-statistics-maximum\"> </a></td><td>Maximum</td><td><div><p>The <a href=\"https://en.wikipedia.org/wiki/Maximal_element\">maximum</a> value of N measurements over the stated period.</p>\n</div></td></tr><tr><td style=\"white-space:nowrap\">minimum<a name=\"observation-statistics-minimum\"> </a></td><td>Minimum</td><td><div><p>The <a href=\"https://en.wikipedia.org/wiki/Minimal_element\">minimum</a> value of N measurements over the stated period.</p>\n</div></td></tr><tr><td style=\"white-space:nowrap\">count<a name=\"observation-statistics-count\"> </a></td><td>Count</td><td><div><p>The [number] of valid measurements over the stated period that contributed to the other statistical outputs.</p>\n</div></td></tr><tr><td style=\"white-space:nowrap\">total-count<a name=\"observation-statistics-total-count\"> </a></td><td>Total Count</td><td><div><p>The total [number] of valid measurements over the stated period, including observations that were ignored because they did not contain valid result values.</p>\n</div></td></tr><tr><td style=\"white-space:nowrap\">median<a name=\"observation-statistics-median\"> </a></td><td>Median</td><td><div><p>The <a href=\"https://en.wikipedia.org/wiki/Median\">median</a> of N measurements over the stated period.</p>\n</div></td></tr><tr><td style=\"white-space:nowrap\">std-dev<a name=\"observation-statistics-std-dev\"> </a></td><td>Standard Deviation</td><td><div><p>The <a href=\"https://en.wikipedia.org/wiki/Standard_deviation\">standard deviation</a> of N measurements over the stated period.</p>\n</div></td></tr><tr><td style=\"white-space:nowrap\">sum<a name=\"observation-statistics-sum\"> </a></td><td>Sum</td><td><div><p>The <a href=\"https://en.wikipedia.org/wiki/Summation\">sum</a> of N measurements over the stated period.</p>\n</div></td></tr><tr><td style=\"white-space:nowrap\">variance<a name=\"observation-statistics-variance\"> </a></td><td>Variance</td><td><div><p>The <a href=\"https://en.wikipedia.org/wiki/Variance\">variance</a> of N measurements over the stated period.</p>\n</div></td></tr><tr><td style=\"white-space:nowrap\">20-percent<a name=\"observation-statistics-20-percent\"> </a></td><td>20th Percentile</td><td><div><p>The 20th <a href=\"https://en.wikipedia.org/wiki/Percentile\">Percentile</a> of N measurements over the stated period.</p>\n</div></td></tr><tr><td style=\"white-space:nowrap\">80-percent<a name=\"observation-statistics-80-percent\"> </a></td><td>80th Percentile</td><td><div><p>The 80th <a href=\"https://en.wikipedia.org/wiki/Percentile\">Percentile</a> of N measurements over the stated period.</p>\n</div></td></tr><tr><td style=\"white-space:nowrap\">4-lower<a name=\"observation-statistics-4-lower\"> </a></td><td>Lower Quartile</td><td><div><p>The lower <a href=\"https://en.wikipedia.org/wiki/Quartile\">Quartile</a> Boundary of N measurements over the stated period.</p>\n</div></td></tr><tr><td style=\"white-space:nowrap\">4-upper<a name=\"observation-statistics-4-upper\"> </a></td><td>Upper Quartile</td><td><div><p>The upper <a href=\"https://en.wikipedia.org/wiki/Quartile\">Quartile</a> Boundary of N measurements over the stated period.</p>\n</div></td></tr><tr><td style=\"white-space:nowrap\">4-dev<a name=\"observation-statistics-4-dev\"> </a></td><td>Quartile Deviation</td><td><div><p>The difference between the upper and lower <a href=\"https://en.wikipedia.org/wiki/Quartile\">Quartiles</a> 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.</p>\n</div></td></tr><tr><td style=\"white-space:nowrap\">5-1<a name=\"observation-statistics-5-1\"> </a></td><td>1st Quintile</td><td><div><p>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.</p>\n</div></td></tr><tr><td style=\"white-space:nowrap\">5-2<a name=\"observation-statistics-5-2\"> </a></td><td>2nd Quintile</td><td><div><p>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.</p>\n</div></td></tr><tr><td style=\"white-space:nowrap\">5-3<a name=\"observation-statistics-5-3\"> </a></td><td>3rd Quintile</td><td><div><p>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.</p>\n</div></td></tr><tr><td style=\"white-space:nowrap\">5-4<a name=\"observation-statistics-5-4\"> </a></td><td>4th Quintile</td><td><div><p>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.</p>\n</div></td></tr><tr><td style=\"white-space:nowrap\">skew<a name=\"observation-statistics-skew\"> </a></td><td>Skew</td><td><div><p>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: <a href=\"https://en.wikipedia.org/wiki/Skewness\">Wikipedia</a>.</p>\n</div></td></tr><tr><td style=\"white-space:nowrap\">kurtosis<a name=\"observation-statistics-kurtosis\"> </a></td><td>Kurtosis</td><td><div><p>Kurtosis is a measure of the "tailedness" of the probability distribution of a real-valued random variable. Source: <a href=\"https://en.wikipedia.org/wiki/Kurtosis\">Wikipedia</a>.</p>\n</div></td></tr><tr><td style=\"white-space:nowrap\">regression<a name=\"observation-statistics-regression\"> </a></td><td>Regression</td><td><div><p>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: <a href=\"https://en.wikipedia.org/wiki/Simple_linear_regression\">Wikipedia</a> This Statistic code will return both a gradient and an intercept value.</p>\n</div></td></tr></table></div>",
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