Derive summary scores from instrument responses for measures used in open and modular mental health systems models
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Updated
Jun 25, 2024 - R
Derive summary scores from instrument responses for measures used in open and modular mental health systems models
Foundation library of ready4 software framework for transparent, reusable and updatable health economic models.
Repository containing slides and links to videos for talks.
The survdigitzerR digitizes published KM curves and extracts survival times and events to be used as input to a digitization algorithm to generate pseudo individual patient level data. The survdigitzeR package is currently under development.
IPECAD open-source model
Tools for applying budget impact analysis to projects developed with the ready4suite
Tools for mapping a range of measures routinely collected in youth mental health services to AQoL 6D utility
Tools for developing and sharing algorithms to map measures routinely collected in mental health services to health utility.
Toolkit for authoring R packages that extend the ready4 framework for open, modular mental health systems models.
Code repository for "A Sensitivity Analysis Framework for Health Economic Evaluation in Middle Income Countries: Appropriately Incorporating a Comprehensive Approach"
*Incomplete* Example partitioned survival model (PSM) in R for Nivolumab versus Ipilimumab in melanoma (with some stuff made up).
Specify Models For Investigation As Candidates For Open And Modular Mental Health System Models
R package for microsimulation
R package that provides models and functions to fit non-standard NMAs: piecewise exponential models and fractional polynomial models for grouped survival data (derived from digitized Kaplan-Meier curves).
A grammar of survival operations
R package that facilitates performing survival analysis to support the creation of Excel based economic models by providing helper functions to use alongside the flexsurv package.
A repository for the Advanced Programming Tutorial that teaches you how to develop an interactive model using Shiny
🌳🌳 Lightweight cost-effectiveness analysis using decision trees.
R package that facilitates the use of discrete event simulations without resource constraints for cost-effectiveness analysis.
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