Evidence Based Medicine on FHIR Implementation Guide
1.0.0-ballot3 - STU 1 Ballot 3 World

Evidence Based Medicine on FHIR Implementation Guide, published by HL7 International / Clinical Decision Support. This guide is not an authorized publication; it is the continuous build for version 1.0.0-ballot3 built by the FHIR (HL7® FHIR® Standard) CI Build. This version is based on the current content of https://github.com/HL7/ebm/ and changes regularly. See the Directory of published versions

Evidence: Example of statistical model expression

Computable Name:

version: 4; Last updated: 2026-08-03 18:52:42+0000

Profile: StatisticModel

ArtifactPublicationStatus: Active

url: https://fevir.net/resources/Evidence/587629

identifier: FEvIR Object Identifier/587629

name: Example_of_statistical_model_expression

title: Example of statistical model expression

citeAs:

Example of statistical model expression [Database Entry: FHIR Evidence Resource]. Contributors: Brian S. Alper, MD, MSPH [Authors/Creators]. In: Fast Evidence Interoperability Resources (FEvIR) Platform, FOI 587629. Revised 2026-08-03. Available at: https://fevir.net/resources/Evidence/587629. Computable resource at: https://fevir.net/resources/Evidence/587629#json.

status: Active

author: Brian S. Alper, MD, MSPH:

publisher: Computable Publishing LLC

contact: support@computablepublishing.com

copyright:

Copyright the Authors else Computable Publishing LLC. Noncommercial use permitted with CC BY-NC-SA 4.0 (https://creativecommons.org/licenses/by-nc-sa/4.0/). Commercial use permitted as agreed in Terms of Use (https://fevir.net/termsofuse).

description:

This is an example of madeup Evidence to demonstrate the StatisticalModelExpression extension.

variableDefinition

description:

Patients with diabetes

variableRole: Population

variableDefinition

description:

GroupAssignment: Treatment vs. Control

variableRole: Exposure

comparatorCategory: Control

variableDefinition

description:

The primary outcome

variableRole: Outcome

statistic

StatisticModelExpression: glm(Outcome ~ Treatment + Baseline_A1C + Age, family = binomial(link = 'logit'))("Logistic regression formula used to calculate the adjusted odds ratio for the primary endpoint.")

description:

Adjusted Odds Ratio for primary outcome 1.45 (95% CI .12 to 1.88)

statisticType: odds ratio

quantity: 1.45

AttributeEstimates

-TypeRange
*Confidence interval1.12-1.88