statistic-type
type: CodeSystem
node role: treeRoot
id:
  v: statistic-type
meta:
  last updated:
    v: 2024-04-24T00:00:00+00:00
text:
  status:
    v: generated
  div: Generated Narrative: CodeSystem statistic-type Last updated: 2024-04-24 00:00:00+0000 This case-sensitive code system http://terminology.hl7.org/CodeSystem/statistic-type defines the following codes: Code Display Definition absolute-MedianDiff Absolute Median Difference Computed by forming the difference between two medians. C25463 Count The number or amount of something. 0000301 Covariance The strength of correlation between a set (2 or more) of random variables. The covariance is obtained by forming: cov(x,y)=e([x-e(x)][y-e(y)] where e(x), e(y) is the expected value (mean) of variable x and y respectively. Covariance is symmetric so cov(x,y)=cov(y,x). The covariance is usefull when looking at the variance of the sum of the 2 random variables since: var(x+y) = var(x) +var(y) +2cov(x,y) the covariance cov(x,y) is used to obtain the coefficient of correlation cor(x,y) by normalizing (dividing) cov(x,y) but the product of the standard deviations of x and y. predictedRisk Predicted Risk A special use case where the proportion is derived from a formula rather than derived from summary evidence. descriptive Descriptive Descriptive measure reported as narrative. C93150 Hazard Ratio A measure of how often a particular event happens in one group compared to how often it happens in another group, over time. In cancer research, hazard ratios are often used in clinical trials to measure survival at any point in time in a group of patients who have been given a specific treatment compared to a control group given another treatment or a placebo. A hazard ratio of one means that there is no difference in survival between the two groups. A hazard ratio of greater than one or less than one means that survival was better in one of the groups. C16726 Incidence The relative frequency of occurrence of something. rate-ratio Incidence Rate Ratio A type of relative effect estimate that compares rates over time (eg events per person-years). C25564 Maximum The largest possible quantity or d…
extension:
  url:
    v: http://hl7.org/fhir/StructureDefinition/structuredefinition-wg
  value: code
    v: fhir
extension:
  url:
    v: http://hl7.org/fhir/StructureDefinition/structuredefinition-fmm
  value: integer
    v: 5
url:
  v: http://terminology.hl7.org/CodeSystem/statistic-type
identifier:
  system:
    v: urn:ietf:rfc:3986
  value:
    v: urn:oid:2.16.840.1.113883.4.642.1.1411
version:
  v: 1.0.1
name:
  v: StatisticStatisticType
title:
  v: StatisticStatisticType
status:
  v: active
experimental:
  v: false
date:
  v: 2024-04-24T00:00:00+00:00
publisher:
  v: Health Level Seven International
contact:
  telecom:
    system:
      v: url
    value:
      v: http://hl7.org
  telecom:
    system:
      v: email
description:
  v: The type of a specific statistic.
copyright:
  v: 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
case sensitive:
  v: true
value set:
  v: http://terminology.hl7.org/ValueSet/statistic-type
  link: http://terminology.hl7.org/ValueSet/statistic-type
content:
  v: complete
concept:
  code:
    v: absolute-MedianDiff
  display:
    v: Absolute Median Difference
  definition:
    v: Computed by forming the difference between two medians.
concept:
  code:
    v: C25463
  display:
    v: Count
  definition:
    v: The number or amount of something.
concept:
  code:
    v: 0000301
  display:
    v: Covariance
  definition:
    v: The strength of correlation between a set (2 or more) of random variables. The covariance is obtained by forming: cov(x,y)=e([x-e(x)][y-e(y)] where e(x), e(y) is the expected value (mean) of variable x and y respectively. Covariance is symmetric so cov(x,y)=cov(y,x). The covariance is usefull when looking at the variance of the sum of the 2 random variables since: var(x+y) = var(x) +var(y) +2cov(x,y) the covariance cov(x,y) is used to obtain the coefficient of correlation cor(x,y) by normalizing (dividing) cov(x,y) but the product of the standard deviations of x and y.
concept:
  code:
    v: predictedRisk
  display:
    v: Predicted Risk
  definition:
    v: A special use case where the proportion is derived from a formula rather than derived from summary evidence.
concept:
  code:
    v: descriptive
  display:
    v: Descriptive
  definition:
    v: Descriptive measure reported as narrative.
concept:
  code:
    v: C93150
  display:
    v: Hazard Ratio
  definition:
    v: A measure of how often a particular event happens in one group compared to how often it happens in another group, over time. In cancer research, hazard ratios are often used in clinical trials to measure survival at any point in time in a group of patients who have been given a specific treatment compared to a control group given another treatment or a placebo. A hazard ratio of one means that there is no difference in survival between the two groups. A hazard ratio of greater than one or less than one means that survival was better in one of the groups.
concept:
  code:
    v: C16726
  display:
    v: Incidence
  definition:
    v: The relative frequency of occurrence of something.
concept:
  code:
    v: rate-ratio
  display:
    v: Incidence Rate Ratio
  definition:
    v: A type of relative effect estimate that compares rates over time (eg events per person-years).
concept:
  code:
    v: C25564
  display:
    v: Maximum
  definition:
    v: The largest possible quantity or degree.
concept:
  code:
    v: C53319
  display:
    v: Mean
  definition:
    v: The sum of a set of values divided by the number of values in the set.
concept:
  code:
    v: 0000457
  display:
    v: Mean Difference
  definition:
    v: The mean difference, or difference in means, measures the absolute difference between the mean value in two different groups.
concept:
  code:
    v: C28007
  display:
    v: Median
  definition:
    v: The value which has an equal number of values greater and less than it.
concept:
  code:
    v: C25570
  display:
    v: Minimum
  definition:
    v: The smallest possible quantity.
concept:
  code:
    v: C16932
  display:
    v: Odds Ratio
  definition:
    v: The ratio of the odds of an event occurring in one group to the odds of it occurring in another group, or to a sample-based estimate of that ratio.
concept:
  code:
    v: C65172
  display:
    v: Pearson Correlation Coefficient
  definition:
    v: A measure of the correlation of two variables X and Y measured on the same object or organism, that is, a measure of the tendency of the variables to increase or decrease together. It is defined as the sum of the products of the standard scores of the two measures divided by the degrees of freedom.
concept:
  code:
    v: C17010
  display:
    v: Prevalence
  definition:
    v: The ratio (for a given time period) of the number of occurrences of a disease or event to the number of units at risk in the population.
concept:
  code:
    v: C44256
  display:
    v: Proportion
  definition:
    v: Quotient of quantities of the same kind for different components within the same system. [Use for univariate outcomes within an individual.].
concept:
  code:
    v: 0000565
  display:
    v: Regression Coefficient
  definition:
    v: Generated by a type of data transformation called a regression, which aims to model a response variable by expression the predictor variables as part of a function where variable terms are modified by a number. A regression coefficient is one such number.
concept:
  code:
    v: C93152
  display:
    v: Relative Risk
  definition:
    v: A measure of the risk of a certain event happening in one group compared to the risk of the same event happening in another group. In cancer research, risk ratios are used in prospective (forward looking) studies, such as cohort studies and clinical trials. A risk ratio of one means there is no difference between two groups in terms of their risk of cancer, based on whether or not they were exposed to a certain substance or factor, or how they responded to two treatments being compared. A risk ratio of greater than one or of less than one usually means that being exposed to a certain substance or factor either increases (risk ratio greater than one) or decreases (risk ratio less than one) the risk of cancer, or that the treatments being compared do not have the same effects.
concept:
  code:
    v: 0000424
  display:
    v: Risk Difference
  definition:
    v: Difference between the observed risks (proportions of individuals with the outcome of interest) in the two groups. The risk difference is straightforward to interpret: it describes the actual difference in the observed risk of events between experimental and control interventions.

code:
  v: C65171
display:
  v: Spearman Rank-Order Correlation
definition:
  v: A distribution-free analog of correlation analysis. Like regression, it can be applied to compare two independent random variables, each at several levels (which may be discrete or continuous). Unlike regression, Spearman's rank correlation works on ranked (relative) data, rather than directly on the data itself.

code:
  v: 0000100
display:
  v: Standardized Mean Difference
definition:
  v: Computed by forming the difference between two means, divided by an estimate of the within-group standard deviation. It is used to provide an estimatation of the effect size between two treatments when the predictor (independent variable) is categorical and the response(dependent) variable is continuous.