This is the Continuous Integration Build of FHIR (will be incorrect/inconsistent at times).
See the Directory of published versions
Clinical Decision Support Work Group  Maturity Level: 1  Trial Use  Use Context: Country: World, Not yet ready for Production use 
Official URL: http://hl7.org/fhir/ValueSet/attributeestimatetype

Version: 6.0.0cibuild  
draft as of 20210805  Computable Name: AttributeEstimateType  
Flags: Experimental, Immutable  OID: 2.16.840.1.113883.4.642.3.3050 
This value set is used in the following places:
A statistic about a statistic, e.g. Confidence interval or pvalue
http://terminology.hl7.org/CodeSystem/attributeestimatetype
This expansion generated 09 Dec 2023
Expansion based on codesystem StatisticAttribute Estimate Type v1.0.0 (CodeSystem)
This value set contains 11 concepts
Code  System  Display  Definition 
0000419  http://terminology.hl7.org/CodeSystem/attributeestimatetype  Cochran's Q statistic  A measure of heterogeneity accros study computed by summing the squared deviations of each study's estimate from the overall metaanalytic estimate, weighting each study's contribution in the same manner as in the metaanalysis. 
C53324  http://terminology.hl7.org/CodeSystem/attributeestimatetype  Confidence interval  A range of values considered compatible with the observed data at the specified confidence level. 
0000455  http://terminology.hl7.org/CodeSystem/attributeestimatetype  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  http://terminology.hl7.org/CodeSystem/attributeestimatetype  Isquared  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 metaanalysis 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 noncentral chisquared distribution method of hedges and piggott (2001); or ii) the testbased method of higgins and thompson (2002). The noncentral chisquare method is currently the method of choice (higgins, personal communication, 2006) – it is computed if the 'exact' option is selected. 
C53245  http://terminology.hl7.org/CodeSystem/attributeestimatetype  Interquartile range  The difference between the 3d and 1st quartiles is called the interquartile range and it is used as a measure of variability (dispersion). 
C44185  http://terminology.hl7.org/CodeSystem/attributeestimatetype  Pvalue  The probability of obtaining the results obtained, or more extreme results, if the hypothesis being tested and all other model assumptions are true. 
C38013  http://terminology.hl7.org/CodeSystem/attributeestimatetype  Range  The difference between the lowest and highest numerical values; the limits or scale of variation. 
C53322  http://terminology.hl7.org/CodeSystem/attributeestimatetype  Standard deviation  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. 
0000037  http://terminology.hl7.org/CodeSystem/attributeestimatetype  Standard error of the mean  The standard deviation of the samplemean's estimate of a population mean. It is calculated by dividing the sample standard deviation (i.e., the samplebased estimate of the standard deviation of the population) by the square root of n , the size (number of observations) of the sample. 
0000421  http://terminology.hl7.org/CodeSystem/attributeestimatetype  Tau squared  An estimate of the betweenstudy variance in a randomeffects metaanalysis. The square root of this number (i.e. Tau) is the estimated standard deviation of underlying effects across studies. 
C48918  http://terminology.hl7.org/CodeSystem/attributeestimatetype  Variance  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 n1 for a sample variance. 
See the full registry of value sets defined as part of FHIR.
Explanation of the columns that may appear on this page:
Lvl  A 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 
Source  The source of the definition of the code (when the value set draws in codes defined elsewhere) 
Code  The code (used as the code in the resource instance). If the code is in italics, this indicates that the code is not selectable ('Abstract') 
Display  The 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 
Definition  An explanation of the meaning of the concept 
Comments  Additional notes about how to use the code 