Clinical Practice Guidelines (CPG) on EBMonFHIR
1.0.2 - ci-build

Clinical Practice Guidelines (CPG) on EBMonFHIR, published by Universitätsmedizin Greifswald. This guide is not an authorized publication; it is the continuous build for version 1.0.2 built by the FHIR (HL7® FHIR® Standard) CI Build. This version is based on the current content of https://github.com/CEOsys/cpg-on-ebm-on-fhir/ and changes regularly. See the Directory of published versions

ValueSet: Mean Difference Type

Official URL: https://www.netzwerk-universitaetsmedizin.de/fhir/cpg-on-ebm-on-fhir/ValueSet/vs-mean-difference-type Version: 0.1.1
Draft as of 2022-09-06 Responsible: Netzwerk Universitätsmedizin (NUM) Computable Name: MeanDifferenceType

Mean difference types

References

Logical Definition (CLD)

Generated Narrative: ValueSet vs-mean-difference-type

  • Include these codes as defined in http://terminology.hl7.org/CodeSystem/statistic-type
    CodeDisplayDefinition
    0000457Mean DifferenceThe mean difference, or difference in means, measures the absolute difference between the mean value in two different groups.
    0000100Standardized Mean DifferenceComputed 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.

 

Expansion

Generated Narrative: ValueSet

Expansion based on codesystem StatisticStatisticType v1.0.1 (CodeSystem)

This value set contains 2 concepts

CodeSystemDisplayDefinition
  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.

  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.

Explanation of the columns that may appear on this page:

Level A few code lists that FHIR defines are hierarchical - each code is assigned a level. In this scheme, some codes are under other codes, and imply that the code they are under also applies
System 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)
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