Finding modules and sub-modules
How to find individual ready4 modules and sub-modules.
Tag: Model - modules
Using ready4 modules
ready4 modules can be be used to model the people, places, platforms and programs that shape young people’s mental health.
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Installing ready4 computational model modules
To implement a modelling analysis with ready4 you need to install computational model modules.
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Module
Some computational models are implemented by combining self-contained, reusable components called “modules”.
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Authoring model data structures
The ready4class R package supports partially automated and standardised workflows for defining the data structures to be used in computational models.
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Model youth choices
Replication programs for designing, analysing and reporting discrete choice experiments.
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Standardise Variable Values With Fuzzy Logic And Correspondence Tables
Costing health economic datasets is an activity that can involve repeated use of lookup tables. This tutorial describes how a module from the costly R package can help you to use a combination of fuzzy logic and correspondence tables to standardise variable values and thus facilitate partial automation of costing algorithms.
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Modules for modelling people
Modules to model the characteristics, relationships, behaviours, risk factors and outcomes of young people and individuals who interact with young people are collectively referred to as the “Spring To Life” model. The currently available modules listed here will be supplemented by additional unreleased work in progress.
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Standardise Variable Values With Lookup Codes
This tutorial describes how a module from the costly R package can help you to use lookup codes to standardise variable values and thus facilitate partial automation of costing algorithms.
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Add metadata to datasets of individual human records
Appending appropriate metadata to datasets of individual unit records can facilitate partial automation of some modelling tasks. This tutorial describes how a module from the youthvars R package can help you to add metadata to a youth mental health dataset so that it can be more readily used by other ready4 modules.
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Validate variable total scores
Vector based classes can be used to help validate variable values. This tutorial describes how to do that with sub-module classes exported as part of the youthvars R package.
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Modules for modelling places
Modules for spatio-temporal modelling of the environments that shape young people’s mental health are collectively referred to as the “Springtides” model. Two module libraries are currently available - vicinity and aus, though both are highly preliminary and without any vignette articles to demonstrate their use. An app built using a combination of these libraries and unreleased work in progress module libraries is available for illustration purposes.
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Score health utility
Using modules from the scorz R package, individual responses to a multi-attribute utility instrument survey can be converted into health utility total scores. This tutorial describes how to do for adolescent AQoL-6D health utility.
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Modules for modelling platforms
Modules that model the processes, eligibility requirements, staffing and configurations of youth service platforms are collectively referred to as the “First Bounce” model. No platforms modules are yet available - see details on unreleased work in progress.
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Modules for modelling programs
Modules for modelling the efficacy, cost-effectiveness and budget impact of youth mental health programs (e.g. interventions for prevention, treatment and wellbeing) are collectively referred to as the “On Target” model. Some initial modules from the costly library are available. There is also even more preliminary work in progress.
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Explore candidate utility mapping models
Using modules from the specific R package, it is possible to undertake an exploratory utility mapping analysis. This tutorial illustrates a hypotehtical example of exploring how to map to EQ-5D health utility.
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Implement a utility mapping study
Using modules from the TTU R package, it is possible to implement a fully reproducible utility mapping study. This tutorial illustrates the main steps using a hypothetical AQoL-6D utility mapping study.
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Find and deploy utility mapping models
Using tools (soon to be formalised into ready4 modules) from the youthu R package, it is possible to find and deploy relevant utility mapping algorithms. This tutorial illustrates the main steps for predicting AQoL-6D utility from psychological and functional measures collected on clinical samples of young people.
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Design a Discrete Choice Experiment
We used functions (soon to be formalised into ready4 modules) from the mychoice R package to design to a discrete choice experiment.
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Use utility mapping algorithms to help implement cost-utility analyses
Using tools (soon to be formalised into ready4 framework modules) from the youthu R package, it is possible to use utility mapping algorithms to help implement cost-utility analyses. This tutorial illustrates the main steps for doing so using psychological and functional measures collected on clinical samples of young people.
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Develop choice models
Using tools (soon to be formalised into ready4 framework modules) from the mychoice R package, it is possible to develop choice models from responses to a discrete choice experiment survey.
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Analyse the results of a Discrete Choice Experiment
Using functions (soon to be formalised into ready4 framework modules) from the mychoice R package, it is possible to develop choice models from responses to a discrete choice experiment survey.
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Predicting the spatial epidemiology of emerging mental disorders
We previously developed a user interface for the epidemiology modules of our Springtides model of places.
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Develop health utility mapping algorithms
Using modules from the TTU, youthvars, scorz and specific libraries, we developed utility mapping algorithms from a sample of young people attending primary mental health care services.
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Predict health utility
Using functions (soon to be formalised into ready4 framework modules) from the youthu R package, we predicted health utility for a synthetic population of young people attending primary mental health care services.
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Pipeline of people modules
Current unreleased work to develop modules for modelling the characteristics, relationships, behaviours, risk factors and outcomes of young people and those important to them.
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Pipeline of places modules
Current unreleased work to develop modules for modelling the demographic, environmental and proximity drivers of access, equity and outcomes in youth mental health.
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Pipeline of platforms modules
Current unreleased work to develop modules for modelling the optimal staffing and configuration of support services for young people.
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Pipeline of programs modules
Current very preliminary work to develop modules for modelling the affordability, value for money and appropriate targeting of interventions for young people.
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Make a catalogue of utility mapping models
A subroutine for generating catalogues of utility mapping models created with the TTU library.
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Author a draft scientific manuscript for a utility mapping study
A subroutine for generating a scientific manuscript of a longitudinal utility mapping study undertaken with the TTU library.
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ready4 PharmacoEconomics article
The ready4 framework is introduced in an article from the PharmacoEconomics journal.
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ready4 is now on CRAN
Announcing the first CRAN release of the ready4 library.
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Introducing ready4 framework modules and syntax
Announcing the introduction of a novel approach to developing modular models with a simple, consistent syntax.