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 6.3.0 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

ValueSet: StatisticAttributeEstimateType

Official URL: http://terminology.hl7.org/ValueSet/attribute-estimate-type Version: 2.0.0
Active as of 2026-04-06 Maturity Level: 5 Responsible: Health Level Seven International Computable Name: StatisticAttributeEstimateType
Other Identifiers: OID:2.16.840.1.113883.4.642.3.1412

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.html

Method of reporting variability of estimates, such as confidence intervals, interquartile range or standard deviation.

References

This value set is not used here; it may be used elsewhere (e.g. specifications and/or implementations that use this content)

Logical Definition (CLD)

Last updated: 2024-04-24 00:00:00+0000

Profile: Shareable ValueSet

  • Include these codes as defined in https://fevir.net/sevco version ⏿2.0
    CodeDisplayDefinitionDefinition (core metadata concept)Synonym (core metadata concept)
    STATO:0000035rangeA measure of dispersion calculated as the difference between the maximum observed value and the minimum observed value.A measure of dispersion calculated as the difference between the maximum observed value and the minimum observed value.
    STATO:00000164interquartile rangeA measure of dispersion calculated as the difference between the 75th percentile and the 25th percentile.A measure of dispersion calculated as the difference between the 75th percentile and the 25th percentile.median IQR
    STATO:0000237standard deviationA measure of dispersion that represents the average of the distances from the mean of the dataset to each data point in the dataset.A measure of dispersion that represents the average of the distances from the mean of the dataset to each data point in the dataset.SD
    STATO:0000684standard deviation for sampleA standard deviation that is the square root of the quotient of the summation across data points of the square of the distance from each data point to the sample mean, and the degrees of freedom (where the degrees of freedom is sample size minus one).A standard deviation that is the square root of the quotient of the summation across data points of the square of the distance from each data point to the sample mean, and the degrees of freedom (where the degrees of freedom is sample size minus one).s
    STATO:0000113varianceA measure of dispersion that represents the square of the standard deviation.A measure of dispersion that represents the square of the standard deviation.
    STATO:0000643variance for sampleA variance that is the quotient of the summation across data points of the square of the distance from each data point to the sample mean, and the degrees of freedom (where the degrees of freedom is sample size minus one).A variance that is the quotient of the summation across data points of the square of the distance from each data point to the sample mean, and the degrees of freedom (where the degrees of freedom is sample size minus one).Var
    STATO:0000624Gini indexA measure of dispersion that is half the relative mean absolute difference between all pairs of observed values.A measure of dispersion that is half the relative mean absolute difference between all pairs of observed values.Gini coefficient
    STATO:0000562standard errorA measure of dispersion applied to estimates across hypothetical repeated random samples.A measure of dispersion applied to estimates across hypothetical repeated random samples.standard error of the estimate
    STATO:0000037standard error of the meanA measure of dispersion applied to means across hypothetical repeated random samples.A measure of dispersion applied to means across hypothetical repeated random samples.SEM
    STATO:0000647standard error of the proportionA measure of dispersion applied to proportions across hypothetical repeated random samples.A measure of dispersion applied to proportions across hypothetical repeated random samples.
    STATO:0000648standard error of the difference between independent meansA measure of dispersion applied to differences between means of independent groups across hypothetical repeated random samples.A measure of dispersion applied to differences between means of independent groups across hypothetical repeated random samples.
    STATO:0000649standard error of the difference between independent proportionsA measure of dispersion applied to differences between proportions arising from independent groups across hypothetical repeated random samples.A measure of dispersion applied to differences between proportions arising from independent groups across hypothetical repeated random samples.
    STATO:0000455credible intervalThe range in which the value of the parameter of interest is likely to reside, typically within a posterior probability distribution.The range in which the value of the parameter of interest is likely to reside, typically within a posterior probability distribution.region of highest posterior density
    STATO:0000196confidence intervalThe estimated range of values that encompasses the point estimate and quantifies the uncertainty about that estimate in terms of a prespecified level of coverage, expected to include the true value between upper and lower bounds, across hypothetically repeated random samples, with all assumptions regarding the sampling distribution across random samples having been fully met.The estimated range of values that encompasses the point estimate and quantifies the uncertainty about that estimate in terms of a prespecified level of coverage, expected to include the true value between upper and lower bounds, across hypothetically repeated random samples, with all assumptions regarding the sampling distribution across random samples having been fully met.
    STATO:0000418measure of heterogeneityA statistic that represents the variation or spread among values in the set of estimates across studies.A statistic that represents the variation or spread among values in the set of estimates across studies.measure of statistical heterogeneity
    STATO:0000419Cochran's QA measure of heterogeneity, based on the chi-square statistic, for reporting an analytic finding regarding whether two or more multinomial distributions are equal, accounting for chance variability.A measure of heterogeneity, based on the chi-square statistic, for reporting an analytic finding regarding whether two or more multinomial distributions are equal, accounting for chance variability.Cochran's Q test statistic
    STATO:0000420I-squaredA measure of heterogeneity that estimates the proportion of variability across studies that is in excess of the expected variability due to chance.A measure of heterogeneity that estimates the proportion of variability across studies that is in excess of the expected variability due to chance.I-square
    STATO:0000421tau squaredA measure of heterogeneity that estimates the variance of the distribution of true effect sizes.A measure of heterogeneity that estimates the variance of the distribution of true effect sizes.tau2
    STATO:0000700p-valueA hypothesis testing measure that represents the probability of obtaining a result at least as far from the value actually obtained as the value expected, assuming the null hypothesis is true.A hypothesis testing measure that represents the probability of obtaining a result at least as far from the value actually obtained as the value expected, assuming the null hypothesis is true.P-value
    STATO:0000661p-value for one-sided testA p-value which represents the probability of obtaining a result at least as far, in one direction, from the value actually obtained as the value expected, assuming the null hypothesis is true. A p-value for one-sided test interprets 'at least as far from' with only one of two directions, either the direction of 'greater than' or the direction of 'less than'.A p-value which represents the probability of obtaining a result at least as far, in one direction, from the value actually obtained as the value expected, assuming the null hypothesis is true. A p-value for one-sided test interprets 'at least as far from' with only one of two directions, either the direction of 'greater than' or the direction of 'less than'.one-tailed p-value
    STATO:0000662p-value for two-sided testA p-value which represents the probability of obtaining a result at least as far, in either direction, from the value actually obtained as the value expected, assuming the null hypothesis is true. A p-value for two-sided test interprets 'at least as far from' with both the direction of 'greater than' and the direction of 'less than'.A p-value which represents the probability of obtaining a result at least as far, in either direction, from the value actually obtained as the value expected, assuming the null hypothesis is true. A p-value for two-sided test interprets 'at least as far from' with both the direction of 'greater than' and the direction of 'less than'.two-tailed p-value
    STATO:0000030chi-square statisticA hypothesis testing measure that is assumed to follow a chi-square distribution.A hypothesis testing measure that is assumed to follow a chi-square distribution.chi-squared statistic
    STATO:0000081chi-square statistic for independenceA chi-square statistic used to test whether two categorical or nominal variables are associated.A chi-square statistic used to test whether two categorical or nominal variables are associated.chi-squared statistic for independence
    STATO:0000708Cochran-Armitage chi-square statistic for trendA chi-square statistic used to test whether a dichotomous variable and an ordinal variable are related.A chi-square statistic used to test whether a dichotomous variable and an ordinal variable are related.Cochran-Armitage statistic
    STATO:0000698chi-square statistic for homogeneityA chi-square statistic used to test whether observed data from two or more groups follow the same distribution.A chi-square statistic used to test whether observed data from two or more groups follow the same distribution.chi-squared statistic for homogeneity
    STATO:0000309chi-square statistic for goodness of fitA chi-square statistic used to test whether observed data follows a specified distribution.A chi-square statistic used to test whether observed data follows a specified distribution.chi-squared statistic for goodness of fit
    STATO:0000376z-statisticA hypothesis testing measure that is a z-score where the specified mean is based on the null hypothesis and the standard deviation is based on the observed data.A hypothesis testing measure that is a z-score where the specified mean is based on the null hypothesis and the standard deviation is based on the observed data.
    STATO:0000176t-statisticA hypothesis testing measure that is a t-score where the specified mean is based on the null hypothesis, the standard error is based on the observed data, and the degrees of freedom is based on the sample size.A hypothesis testing measure that is a t-score where the specified mean is based on the null hypothesis, the standard error is based on the observed data, and the degrees of freedom is based on the sample size.Student's t statistic
    STATO:0000266Bayes factorA hypothesis testing measure that is a ratio of the probability of the observed data under one hypothesis divided by the probability of the same observed data under a different hypothesis.A hypothesis testing measure that is a ratio of the probability of the observed data under one hypothesis divided by the probability of the same observed data under a different hypothesis.
    STATO:0000660posterior predictive p-valueA hypothesis testing measure that is the probability that a statistic value derived from a posterior predictive distribution under the assumptions of the model is equal to or more extreme than the observed posterior value of the statistic.A hypothesis testing measure that is the probability that a statistic value derived from a posterior predictive distribution under the assumptions of the model is equal to or more extreme than the observed posterior value of the statistic.Bayes p-value
    STATO:0000069degrees of freedomA statistic that represents the number of independent values used to calculate a statistical estimate. The number of degrees of freedom ν is equal to the number of independent units of information given the model.A statistic that represents the number of independent values used to calculate a statistical estimate. The number of degrees of freedom ν is equal to the number of independent units of information given the model.number of degrees of freedom
    STATO:0000104z-scoreA statistic that represents a measure of the divergence of an individual experimental result from a specified mean, expressed in terms of the number of standard deviations from the mean value.A statistic that represents a measure of the divergence of an individual experimental result from a specified mean, expressed in terms of the number of standard deviations from the mean value.z-value
    STATO:0000699t-scoreA statistic that represents a measure of the divergence of an individual experimental result from a specified mean, taking sample size into account and expressed in terms of the number of standard errors from the mean value.A statistic that represents a measure of the divergence of an individual experimental result from a specified mean, taking sample size into account and expressed in terms of the number of standard errors from the mean value.t-value
    STATO:0000702prior probabilityA statistic that represents the likelihood of a parameter of interest, before accounting for the observed data from the study.A statistic that represents the likelihood of a parameter of interest, before accounting for the observed data from the study.
    STATO:0000703posterior probabilityA statistic that represents the likelihood of a parameter of interest, after updating its prior probability with the observed data from the study.A statistic that represents the likelihood of a parameter of interest, after updating its prior probability with the observed data from the study.

 

Expansion

Expansion from tx.fhir.org based on codesystem Scientific Evidence Code System (SEVCO) -- Release 2.0 v2.0 (CodeSystem)

This value set contains 35 concepts

SystemCodeDisplay (en)DefinitionJSONXML
https://fevir.net/sevco  STATO:0000035rangeA measure of dispersion calculated as the difference between the maximum observed value and the minimum observed value.
https://fevir.net/sevco  STATO:00000164interquartile rangeA measure of dispersion calculated as the difference between the 75th percentile and the 25th percentile.
https://fevir.net/sevco  STATO:0000237standard deviationA measure of dispersion that represents the average of the distances from the mean of the dataset to each data point in the dataset.
https://fevir.net/sevco  STATO:0000684standard deviation for sampleA standard deviation that is the square root of the quotient of the summation across data points of the square of the distance from each data point to the sample mean, and the degrees of freedom (where the degrees of freedom is sample size minus one).
https://fevir.net/sevco  STATO:0000113varianceA measure of dispersion that represents the square of the standard deviation.
https://fevir.net/sevco  STATO:0000643variance for sampleA variance that is the quotient of the summation across data points of the square of the distance from each data point to the sample mean, and the degrees of freedom (where the degrees of freedom is sample size minus one).
https://fevir.net/sevco  STATO:0000624Gini indexA measure of dispersion that is half the relative mean absolute difference between all pairs of observed values.
https://fevir.net/sevco  STATO:0000562standard errorA measure of dispersion applied to estimates across hypothetical repeated random samples.
https://fevir.net/sevco  STATO:0000037standard error of the meanA measure of dispersion applied to means across hypothetical repeated random samples.
https://fevir.net/sevco  STATO:0000647standard error of the proportionA measure of dispersion applied to proportions across hypothetical repeated random samples.
https://fevir.net/sevco  STATO:0000648standard error of the difference between independent meansA measure of dispersion applied to differences between means of independent groups across hypothetical repeated random samples.
https://fevir.net/sevco  STATO:0000649standard error of the difference between independent proportionsA measure of dispersion applied to differences between proportions arising from independent groups across hypothetical repeated random samples.
https://fevir.net/sevco  STATO:0000455credible intervalThe range in which the value of the parameter of interest is likely to reside, typically within a posterior probability distribution.
https://fevir.net/sevco  STATO:0000196confidence intervalThe estimated range of values that encompasses the point estimate and quantifies the uncertainty about that estimate in terms of a prespecified level of coverage, expected to include the true value between upper and lower bounds, across hypothetically repeated random samples, with all assumptions regarding the sampling distribution across random samples having been fully met.
https://fevir.net/sevco  STATO:0000418measure of heterogeneityA statistic that represents the variation or spread among values in the set of estimates across studies.
https://fevir.net/sevco  STATO:0000419Cochran's QA measure of heterogeneity, based on the chi-square statistic, for reporting an analytic finding regarding whether two or more multinomial distributions are equal, accounting for chance variability.
https://fevir.net/sevco  STATO:0000420I-squaredA measure of heterogeneity that estimates the proportion of variability across studies that is in excess of the expected variability due to chance.
https://fevir.net/sevco  STATO:0000421tau squaredA measure of heterogeneity that estimates the variance of the distribution of true effect sizes.
https://fevir.net/sevco  STATO:0000700p-valueA hypothesis testing measure that represents the probability of obtaining a result at least as far from the value actually obtained as the value expected, assuming the null hypothesis is true.
https://fevir.net/sevco  STATO:0000661p-value for one-sided testA p-value which represents the probability of obtaining a result at least as far, in one direction, from the value actually obtained as the value expected, assuming the null hypothesis is true. A p-value for one-sided test interprets 'at least as far from' with only one of two directions, either the direction of 'greater than' or the direction of 'less than'.
https://fevir.net/sevco  STATO:0000662p-value for two-sided testA p-value which represents the probability of obtaining a result at least as far, in either direction, from the value actually obtained as the value expected, assuming the null hypothesis is true. A p-value for two-sided test interprets 'at least as far from' with both the direction of 'greater than' and the direction of 'less than'.
https://fevir.net/sevco  STATO:0000030chi-square statisticA hypothesis testing measure that is assumed to follow a chi-square distribution.
https://fevir.net/sevco  STATO:0000081chi-square statistic for independenceA chi-square statistic used to test whether two categorical or nominal variables are associated.
https://fevir.net/sevco  STATO:0000708Cochran-Armitage chi-square statistic for trendA chi-square statistic used to test whether a dichotomous variable and an ordinal variable are related.
https://fevir.net/sevco  STATO:0000698chi-square statistic for homogeneityA chi-square statistic used to test whether observed data from two or more groups follow the same distribution.
https://fevir.net/sevco  STATO:0000309chi-square statistic for goodness of fitA chi-square statistic used to test whether observed data follows a specified distribution.
https://fevir.net/sevco  STATO:0000376z-statisticA hypothesis testing measure that is a z-score where the specified mean is based on the null hypothesis and the standard deviation is based on the observed data.
https://fevir.net/sevco  STATO:0000176t-statisticA hypothesis testing measure that is a t-score where the specified mean is based on the null hypothesis, the standard error is based on the observed data, and the degrees of freedom is based on the sample size.
https://fevir.net/sevco  STATO:0000266Bayes factorA hypothesis testing measure that is a ratio of the probability of the observed data under one hypothesis divided by the probability of the same observed data under a different hypothesis.
https://fevir.net/sevco  STATO:0000660posterior predictive p-valueA hypothesis testing measure that is the probability that a statistic value derived from a posterior predictive distribution under the assumptions of the model is equal to or more extreme than the observed posterior value of the statistic.
https://fevir.net/sevco  STATO:0000069degrees of freedomA statistic that represents the number of independent values used to calculate a statistical estimate. The number of degrees of freedom ν is equal to the number of independent units of information given the model.
https://fevir.net/sevco  STATO:0000104z-scoreA statistic that represents a measure of the divergence of an individual experimental result from a specified mean, expressed in terms of the number of standard deviations from the mean value.
https://fevir.net/sevco  STATO:0000699t-scoreA statistic that represents a measure of the divergence of an individual experimental result from a specified mean, taking sample size into account and expressed in terms of the number of standard errors from the mean value.
https://fevir.net/sevco  STATO:0000702prior probabilityA statistic that represents the likelihood of a parameter of interest, before accounting for the observed data from the study.
https://fevir.net/sevco  STATO:0000703posterior probabilityA statistic that represents the likelihood of a parameter of interest, after updating its prior probability with the observed data from the study.

Description of the above table(s).


History

DateActionCustodianAuthorComment
2023-11-14reviseTSMGMarc DuteauAdd standard copyright and contact to internal content; up-476
2020-10-14reviseVocabulary WGGrahame GrieveReset Version after migration to UTG
2020-05-06reviseVocabulary WGTed KleinMigrated to the UTG maintenance environment and publishing tooling.