ready4

Data collections to support modules of the readyforwhatsnext economic model of youth mental health and its underpinning ready4 software framework.

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1 to 10 of 23 Results

Replication Data For Quality of Life Heterogeneity Analysis In A Clinical Youth Mental Health Sample Feb 14, 2024 - Fake Data For Instruction And Illustration Caroline X Gao; Matthew P Hamilton, 2024, "Replication Data For Quality of Life Heterogeneity Analysis In A Clinical Youth Mental Health Sample", https://doi.org/10.7910/DVN/RDG51Y, Harvard Dataverse, V1 This dataset is provided so that others can apply and test the analysis algorithms we have developed. It includes synthetic (fake) data that was generated for the sole purpose of enabling users to rerun our analysis algorithm.
Synthetic (fake) youth mental health datasets and data dictionaries Feb 8, 2024 - Fake Data For Instruction And Illustration Matthew P Hamilton, 2021, "Synthetic (fake) youth mental health datasets and data dictionaries", https://doi.org/10.7910/DVN/HJXYKQ, Harvard Dataverse, V5 The datasets in this collection are entirely fake. They were developed principally to demonstrate the workings of a number of utility scoring and mapping algorithms. However, they may be of more general use to others. In some limited cases, some of the included files could be used in exploratory simulation based analyses. However, you should read t...
Synthetic (fake) dataset for hypothetical replication of study mapping psychological distress and functioning measures to CHU-9D health utility Jun 30, 2023 - Fake Data For Instruction And Illustration Hamilton, Matthew, 2023, "Synthetic (fake) dataset for hypothetical replication of study mapping psychological distress and functioning measures to CHU-9D health utility", https://doi.org/10.7910/DVN/3R5TS3, Harvard Dataverse, V3 This dataset is comprised of fake data that has been created to illustrate the potential transfer of a study algorithm for creating CHU-9D utility mapping models to new data. Outputs in this dataset are for instructional purposes only and should not be used to inform decision making
Synthetic (fake) dataset for hypothetical replication of study mapping psychological distress and functioning measures to AQoL-6D health utility Jun 30, 2023 - Fake Data For Instruction And Illustration Hamilton, Matthew, 2023, "Synthetic (fake) dataset for hypothetical replication of study mapping psychological distress and functioning measures to AQoL-6D health utility", https://doi.org/10.7910/DVN/LYBMB0, Harvard Dataverse, V2 This dataset is comprised of fake data that has been created to illustrate the potential transfer of a study algorithm for creating utility mapping models to new data. Outputs in this dataset are for instructional purposes only and should not be used to inform decision making.
Transfer to CHU-9D From Measures Collected In Primary Youth Mental Health Services Jun 25, 2023 - Transfer to Utility Hamilton, Matthew, 2023, "Transfer to CHU-9D From Measures Collected In Primary Youth Mental Health Services", https://doi.org/10.7910/DVN/N4NEHL, Harvard Dataverse, V2 This is a work in progress dataset to support the implementation and reporting of a study to map measures collected in Australian primary youth mental health services to CHU-9D health utility
Transfer to AQoL-6D From Measures Collected In Primary Youth Mental Health Services Jun 25, 2023 - Transfer to Utility Hamilton, Matthew, 2023, "Transfer to AQoL-6D From Measures Collected In Primary Youth Mental Health Services", https://doi.org/10.7910/DVN/FDRUXH, Harvard Dataverse, V5 This is a work in progress dataset to support the implementation and reporting of a study to map measures collected in Australian primary youth mental health services to AQoL-6D health utility.
TTU (Transfer to Utility) R package - AQoL-6D vignette output Jun 24, 2023 - Fake Data For Instruction And Illustration Hamilton, Matthew, 2021, "TTU (Transfer to Utility) R package - AQoL-6D vignette output", https://doi.org/10.7910/DVN/D74QMP, Harvard Dataverse, V15 This dataset has been generated from fake data as an instructional aid. It is not to be used to inform decision making.
ready4 Framework Abbreviations and Definitions Dec 22, 2022 - ready4 Framework Matthew Hamilton, 2022, "ready4 Framework Abbreviations and Definitions", https://doi.org/10.7910/DVN/RIQTKK, Harvard Dataverse, V3 This dataset contains resources that help ready4 Framework Developers adopt common standards and workflows.
Modelling the online helpseeking choice of socially anxious young people Nov 6, 2022 - Spring To Life Hamilton, Matthew, 2022, "Modelling the online helpseeking choice of socially anxious young people", https://doi.org/10.7910/DVN/VGPIPS, Harvard Dataverse, V11 Models to predict the online helpseeking choices of socially anxious young people in Australia and replication code and documentation to implement the discrete choice experiment that generated the models. All study outputs were created with the aid of the mychoice R package (https://ready4-dev.github.io/mychoice).
Transfer to AQoL-6D Utility Mapping Algorithms Sep 13, 2022 - Transfer to Utility Matthew P Hamilton; Caroline X Gao; Kate M Filia; Jana M Menssink; Sonia Sharmin; Nic Telford; Helen Herrman; Ian B Hickie; Cathrine Mihalopoulos; Debra J Rickwood; Patrick D McGorry; Sue M Cotton, 2021, "Transfer to AQoL-6D Utility Mapping Algorithms", https://doi.org/10.7910/DVN/DKDIB0, Harvard Dataverse, V11 Catalogues of models (and the programs that produced them) that can be used in conjunction with the youthu R package to predict AQoL-6D health utility (and thus, derive QALYs) from measures collected in youth mental health services.

Replication Data For Quality of Life Heterogeneity Analysis In A Clinical Youth Mental Health Sample

Feb 14, 2024 - Fake Data For Instruction And Illustration

Caroline X Gao; Matthew P Hamilton, 2024, "Replication Data For Quality of Life Heterogeneity Analysis In A Clinical Youth Mental Health Sample", https://doi.org/10.7910/DVN/RDG51Y, Harvard Dataverse, V1

This dataset is provided so that others can apply and test the analysis algorithms we have developed. It includes synthetic (fake) data that was generated for the sole purpose of enabling users to rerun our analysis algorithm.

Synthetic (fake) youth mental health datasets and data dictionaries

Feb 8, 2024 - Fake Data For Instruction And Illustration

Matthew P Hamilton, 2021, "Synthetic (fake) youth mental health datasets and data dictionaries", https://doi.org/10.7910/DVN/HJXYKQ, Harvard Dataverse, V5

The datasets in this collection are entirely fake. They were developed principally to demonstrate the workings of a number of utility scoring and mapping algorithms. However, they may be of more general use to others. In some limited cases, some of the included files could be used in exploratory simulation based analyses. However, you should read t...

Synthetic (fake) dataset for hypothetical replication of study mapping psychological distress and functioning measures to CHU-9D health utility

Jun 30, 2023 - Fake Data For Instruction And Illustration

Hamilton, Matthew, 2023, "Synthetic (fake) dataset for hypothetical replication of study mapping psychological distress and functioning measures to CHU-9D health utility", https://doi.org/10.7910/DVN/3R5TS3, Harvard Dataverse, V3

This dataset is comprised of fake data that has been created to illustrate the potential transfer of a study algorithm for creating CHU-9D utility mapping models to new data. Outputs in this dataset are for instructional purposes only and should not be used to inform decision making

Synthetic (fake) dataset for hypothetical replication of study mapping psychological distress and functioning measures to AQoL-6D health utility

Jun 30, 2023 - Fake Data For Instruction And Illustration

Hamilton, Matthew, 2023, "Synthetic (fake) dataset for hypothetical replication of study mapping psychological distress and functioning measures to AQoL-6D health utility", https://doi.org/10.7910/DVN/LYBMB0, Harvard Dataverse, V2

This dataset is comprised of fake data that has been created to illustrate the potential transfer of a study algorithm for creating utility mapping models to new data. Outputs in this dataset are for instructional purposes only and should not be used to inform decision making.

Transfer to CHU-9D From Measures Collected In Primary Youth Mental Health Services

Jun 25, 2023 - Transfer to Utility

Hamilton, Matthew, 2023, "Transfer to CHU-9D From Measures Collected In Primary Youth Mental Health Services", https://doi.org/10.7910/DVN/N4NEHL, Harvard Dataverse, V2

This is a work in progress dataset to support the implementation and reporting of a study to map measures collected in Australian primary youth mental health services to CHU-9D health utility

Transfer to AQoL-6D From Measures Collected In Primary Youth Mental Health Services

Jun 25, 2023 - Transfer to Utility

Hamilton, Matthew, 2023, "Transfer to AQoL-6D From Measures Collected In Primary Youth Mental Health Services", https://doi.org/10.7910/DVN/FDRUXH, Harvard Dataverse, V5

This is a work in progress dataset to support the implementation and reporting of a study to map measures collected in Australian primary youth mental health services to AQoL-6D health utility.

TTU (Transfer to Utility) R package - AQoL-6D vignette output

Jun 24, 2023 - Fake Data For Instruction And Illustration

Hamilton, Matthew, 2021, "TTU (Transfer to Utility) R package - AQoL-6D vignette output", https://doi.org/10.7910/DVN/D74QMP, Harvard Dataverse, V15

This dataset has been generated from fake data as an instructional aid. It is not to be used to inform decision making.

ready4 Framework Abbreviations and Definitions

Dec 22, 2022 - ready4 Framework

Matthew Hamilton, 2022, "ready4 Framework Abbreviations and Definitions", https://doi.org/10.7910/DVN/RIQTKK, Harvard Dataverse, V3

This dataset contains resources that help ready4 Framework Developers adopt common standards and workflows.

Modelling the online helpseeking choice of socially anxious young people

Nov 6, 2022 - Spring To Life

Hamilton, Matthew, 2022, "Modelling the online helpseeking choice of socially anxious young people", https://doi.org/10.7910/DVN/VGPIPS, Harvard Dataverse, V11

Models to predict the online helpseeking choices of socially anxious young people in Australia and replication code and documentation to implement the discrete choice experiment that generated the models. All study outputs were created with the aid of the mychoice R package (https://ready4-dev.github.io/mychoice).

Transfer to AQoL-6D Utility Mapping Algorithms

Sep 13, 2022 - Transfer to Utility

Matthew P Hamilton; Caroline X Gao; Kate M Filia; Jana M Menssink; Sonia Sharmin; Nic Telford; Helen Herrman; Ian B Hickie; Cathrine Mihalopoulos; Debra J Rickwood; Patrick D McGorry; Sue M Cotton, 2021, "Transfer to AQoL-6D Utility Mapping Algorithms", https://doi.org/10.7910/DVN/DKDIB0, Harvard Dataverse, V11

Catalogues of models (and the programs that produced them) that can be used in conjunction with the youthu R package to predict AQoL-6D health utility (and thus, derive QALYs) from measures collected in youth mental health services.

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