Release 5 Ballot

This page is part of the FHIR Specification (v5.0.0-ballot: R5 Ballot - see ballot notes). The current version which supercedes this version is 5.0.0. For a full list of available versions, see the Directory of published versions . Page versions: R5 R4B

4.4.1.93 ValueSet http://hl7.org/fhir/ValueSet/statistic-type

Clinical Decision Support icon Work Group Maturity Level: 1Trial Use Use Context: Not yet ready for Production use, Not yet ready for Production use

This is a value set defined by the FHIR project.

Summary

Defining URL:http://hl7.org/fhir/ValueSet/statistic-type
Version:5.0.0-ballot
Name:StatisticType
Title:StatisticType
Status:draft
Definition:

The type of a statistic, e.g. relative risk or mean

Committee:Clinical Decision Support icon Work Group
OID:2.16.840.1.113883.4.642.3.3044 (for OID based terminology systems)
Flags:Experimental, Immutable

This value set is used in the following places:


 

This expansion generated 10 Sep 2022


This value set contains 22 concepts

Expansion based on StatisticType v5.0.0-ballot (CodeSystem)

CodeSystemDisplayDefinition
  absolute-MedianDiffhttp://terminology.hl7.org/CodeSystem/statistic-typeAbsolute Median Difference

Computed by forming the difference between two medians.

  C25463http://terminology.hl7.org/CodeSystem/statistic-typeCount

The number or amount of something

  0000301http://terminology.hl7.org/CodeSystem/statistic-typeCovariance

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.

  predictedRiskhttp://terminology.hl7.org/CodeSystem/statistic-typePredicted Risk

A special use case where the proportion is derived from a formula rather than derived from summary evidence.

  descriptivehttp://terminology.hl7.org/CodeSystem/statistic-typeDescriptive

Descriptive measure reported as narrative.

  C93150http://terminology.hl7.org/CodeSystem/statistic-typeHazard 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.

  C16726http://terminology.hl7.org/CodeSystem/statistic-typeIncidence

The relative frequency of occurrence of something.

  rate-ratiohttp://terminology.hl7.org/CodeSystem/statistic-typeIncidence Rate Ratio

A type of relative effect estimate that compares rates over time (eg events per person-years).

  C25564http://terminology.hl7.org/CodeSystem/statistic-typeMaximum

The largest possible quantity or degree.

  C53319http://terminology.hl7.org/CodeSystem/statistic-typeMean

The sum of a set of values divided by the number of values in the set.

  0000457http://terminology.hl7.org/CodeSystem/statistic-typeMean Difference

The mean difference, or difference in means, measures the absolute difference between the mean value in two different groups.

  C28007http://terminology.hl7.org/CodeSystem/statistic-typeMedian

The value which has an equal number of values greater and less than it.

  C25570http://terminology.hl7.org/CodeSystem/statistic-typeMinimum

The smallest possible quantity.

  C16932http://terminology.hl7.org/CodeSystem/statistic-typeOdds Ratio

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.

  C65172http://terminology.hl7.org/CodeSystem/statistic-typePearson Correlation Coefficient

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.

  C17010http://terminology.hl7.org/CodeSystem/statistic-typePrevalence

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.

  C44256http://terminology.hl7.org/CodeSystem/statistic-typeProportion

Quotient of quantities of the same kind for different components within the same system. [Use for univariate outcomes within an individual.]

  0000565http://terminology.hl7.org/CodeSystem/statistic-typeRegression Coefficient

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.

  C93152http://terminology.hl7.org/CodeSystem/statistic-typeRelative Risk

 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.

  0000424http://terminology.hl7.org/CodeSystem/statistic-typeRisk Difference

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.

  C65171http://terminology.hl7.org/CodeSystem/statistic-typeSpearman Rank-Order Correlation 

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.

  0000100http://terminology.hl7.org/CodeSystem/statistic-typeStandardized Mean Difference

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

 

See the full registry of value sets defined as part of FHIR.


Explanation of the columns that may appear on this page:

LvlA few code lists that FHIR defines are hierarchical - each code is assigned a level. For value sets, levels are mostly used to organize codes for user convenience, but may follow code system hierarchy - see Code System for further information
SourceThe source of the definition of the code (when the value set draws in codes defined elsewhere)
CodeThe code (used as the code in the resource instance). If the code is in italics, this indicates that the code is not selectable ('Abstract')
DisplayThe display (used in the display element of a Coding). If there is no display, implementers should not simply display the code, but map the concept into their application
DefinitionAn explanation of the meaning of the concept
CommentsAdditional notes about how to use the code