attribute-estimate-type
type: CodeSystem
node role: treeRoot
id:
  v: attribute-estimate-type
meta:
  last updated:
    v: 2024-04-24T00:00:00+00:00
text:
  status:
    v: generated
  div: Generated Narrative: CodeSystem attribute-estimate-type Last updated: 2024-04-24 00:00:00+0000 This case-sensitive code system http://terminology.hl7.org/CodeSystem/attribute-estimate-type defines the following codes: Code Display Definition 0000419 Cochran's Q statistic A measure of heterogeneity accros study computed by summing the squared deviations of each study's estimate from the overall meta-analytic estimate, weighting each study's contribution in the same manner as in the meta-analysis. C53324 Confidence interval A range of values considered compatible with the observed data at the specified confidence level. 0000455 Credible interval An interval of a posterior distribution which is such that the density at any point inside the interval is greater than the density at any point outside and that the area under the curve for that interval is equal to a prespecified probability level. For any probability level there is generally only one such interval, which is also often known as the highest posterior density region. Unlike the usual confidence interval associated with frequentist inference, here the intervals specify the range within which parameters lie with a certain probability. The bayesian counterparts of the confidence interval used in frequentists statistics. 0000420 I-squared The percentage of total variation across studies that is due to heterogeneity rather than chance. I2 can be readily calculated from basic results obtained from a typical meta-analysis as i2 = 100%×(q - df)/q, where q is cochran's heterogeneity statistic and df the degrees of freedom. Negative values of i2 are put equal to zero so that i2 lies between 0% and 100%. A value of 0% indicates no observed heterogeneity, and larger values show increasing heterogeneity. Unlike cochran's q, it does not inherently depend upon the number of studies considered. A confidence interval for i² is constructed using either i) the iterative non-central chi-squared distribution method of hedges and p…
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/attribute-estimate-type
identifier:
  system:
    v: urn:ietf:rfc:3986
  value:
    v: urn:oid:2.16.840.1.113883.4.642.1.1413
version:
  v: 1.0.1
name:
  v: StatisticAttributeEstimateType
title:
  v: StatisticAttribute Estimate Type
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: Method of reporting variability of estimates, such as confidence intervals, interquartile range or standard deviation.
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/attribute-estimate-type
  link: http://terminology.hl7.org/ValueSet/attribute-estimate-type
content:
  v: complete
concept:
  code:
    v: 0000419
  display:
    v: Cochran's Q statistic
  definition:
    v: A measure of heterogeneity accros study computed by summing the squared deviations of each study's estimate from the overall meta-analytic estimate, weighting each study's contribution in the same manner as in the meta-analysis.
concept:
  code:
    v: C53324
  display:
    v: Confidence interval
  definition:
    v: A range of values considered compatible with the observed data at the specified confidence level.
concept:
  code:
    v: 0000455
  display:
    v: Credible interval
  definition:
    v: An interval of a posterior distribution which is such that the density at any point inside the interval is greater than the density at any point outside and that the area under the curve for that interval is equal to a prespecified probability level. For any probability level there is generally only one such interval, which is also often known as the highest posterior density region. Unlike the usual confidence interval associated with frequentist inference, here the intervals specify the range within which parameters lie with a certain probability. The bayesian counterparts of the confidence interval used in frequentists statistics.
concept:
  code:
    v: 0000420
  display:
    v: I-squared
  definition:
    v: The percentage of total variation across studies that is due to heterogeneity rather than chance. I2 can be readily calculated from basic results obtained from a typical meta-analysis as i2 = 100%×(q - df)/q, where q is cochran's heterogeneity statistic and df the degrees of freedom. Negative values of i2 are put equal to zero so that i2 lies between 0% and 100%. A value of 0% indicates no observed heterogeneity, and larger values show increasing heterogeneity. Unlike cochran's q, it does not inherently depend upon the number of studies considered. A confidence interval for i² is constructed using either i) the iterative non-central chi-squared distribution method of hedges and piggott (2001); or ii) the test-based method of higgins and thompson (2002). The non-central chi-square method is currently the method of choice (higgins, personal communication, 2006) – it is computed if the 'exact' option is selected.
concept:
  code:
    v: C53245
  display:
    v: Interquartile range
  definition:
    v: The difference between the 3d and 1st quartiles is called the interquartile range and it is used as a measure of variability (dispersion).
concept:
  code:
    v: C44185
  display:
    v: P-value
  definition:
    v: The probability of obtaining the results obtained, or more extreme results, if the hypothesis being tested and all other model assumptions are true.
concept:
  code:
    v: C38013
  display:
    v: Range
  definition:
    v: The difference between the lowest and highest numerical values; the limits or scale of variation.
concept:
  code:
    v: C53322
  display:
    v: Standard deviation
  definition:
    v: A measure of the range of values in a set of numbers. Standard deviation is a statistic used as a measure of the dispersion or variation in a distribution, equal to the square root of the arithmetic mean of the squares of the deviations from the arithmetic mean.
concept:
  code:
    v: 0000037
  display:
    v: Standard error of the mean
  definition:
    v: The standard deviation of the sample-mean's estimate of a population mean. It is calculated by dividing the sample standard deviation (i.e., the sample-based estimate of the standard deviation of the population) by the square root of n , the size (number of observations) of the sample.
concept:
  code:
    v: 0000421
  display:
    v: Tau squared
  definition:
    v: An estimate of the between-study variance in a random-effects meta-analysis. The square root of this number (i.e. Tau) is the estimated standard deviation of underlying effects across studies.
concept:
  code:
    v: C48918
  display:
    v: Variance
  definition:
    v: A measure of the variability in a sample or population. It is calculated as the mean squared deviation (MSD) of the individual values from their common mean. In calculating the MSD, the divisor n is commonly used for a population variance and the divisor n-1 for a sample variance.