Horses for courses: how clinical context sets the value of non-invasive blood and saliva tests for endometriosis — a decision-analytic modelling study
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CC0
AI-generated summary
This study used decision-analytic modeling to assess the value of non-invasive blood and saliva tests for endometriosis based on clinical context, including diagnostic accuracy inputs and risk-of-bias appraisals.
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Abstract
This repository is the reproducibility archive for the study "Horses for courses: how clinical context sets the value of non-invasive blood and saliva tests for endometriosis — a decision-analytic modelling study." It contains the extracted diagnostic-accuracy inputs for six marketed non-invasive blood and saliva tests (with value-by-value source locations and a QUADAS-2 risk-of-bias appraisal), the derived output files of eight decision-analytic modules (natural-frequency consequences, decision curves, action zones, triage pathway, sequential testing, one-way sensitivity, suitability matrix, and a cost-consequence sketch), and the analysis scripts that regenerate every derived file to full precision under a fixed random seed. The README.md maps each file to the manuscript element it supports; requirements.txt pins the environment (Python 3.11; numpy, scipy, pandas, matplotlib). The copyrighted primary source articles are not redistributed; each extracted value is traceable to its in-source location. No individual patient-level data were used. Please cite the associated article.
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- last seen: 2026-08-20T06:06:58.202835+00:00
License: CC0
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