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ttu_lng_ss

Markdown files to produce a template scientific summary of an analysis of longitudinal data performed with the TTU R package

https://github.com/ready4-dev/ttu_lng_ss

Science Score: 67.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ✓
    CITATION.cff file
    Found CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
  • ✓
    DOI references
    Found 8 DOI reference(s) in README
  • ✓
    Academic publication links
    Links to: medrxiv.org
  • ○
    Academic email domains
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (6.0%) to scientific vocabulary

Keywords

mental-health qalys ready4-dev transfer-to-utility
Last synced: 6 months ago · JSON representation ·

Repository

Markdown files to produce a template scientific summary of an analysis of longitudinal data performed with the TTU R package

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mental-health qalys ready4-dev transfer-to-utility
Created over 4 years ago · Last pushed over 2 years ago
Metadata Files
Readme License Citation

README.html 














README
























































Create a Draft Scientific Manuscript For A Utility Mapping
Study


This sub-routine program extends the R package TTU (https://ready4-dev.github.io/TTU/index.html) by
providing a toolkit for automatically authoring a first draft of a
scientific manuscript from results generated by TTU functions.


The program is intended for use and as the last component of TTU’s
reporting workflow for longitudinal modelling projects. An example of
this workflow is available at: https://doi.org/10.5281/zenodo.6116077 . This program
generalises a program that produced the manuscript for a real world
study (https://www.medrxiv.org/content/10.1101/2021.07.07.21260129v2.full).


The program can produce manuscripts in PDF / LaTex (example - https://dataverse.harvard.edu/api/access/datafile/4957407)
and Word (example - https://dataverse.harvard.edu/api/access/datafile/4957416).
It should be noted that the Word output requires some manual editing to
adapt section numbering, modify table headers and resize tables to page
boundaries.


There are two suggested workflows to further develop the
algorithm-authored first draft into something that could be submitted
for publication:


If your planned submission format is PDF or LaTeX, you can edit the
markdown files saved onto your machine when you first called
write_manuscript. You can discover where in your project
directory these have been saved by printing
results_ls$path_params_ls$paths_ls$path_to_ms_mkdn_1L_dir
from the results_ls object that was created by TTU’s reporting workflow.
Once you have completed your edits, you can then run
write_manuscript(results_ls = results_ls, output_type_1L_chr = "PDF").
Both PDF and TeX files will be saved as a result of this command.


If your planned submission format is Word, you can just edit the word
document rendered by
write_manuscript(results_ls = results_ls, output_type_1L_chr = "Word").


Suggested citation (bibTeX):


@Manual{TTUExtension, title = {Create a
Draft Scientific Manuscript For A Utility Mapping Study}, author =
{Matthew Hamilton and Caroline Gao}, year = {2022}, note = {https://github.com/ready4-dev/ttu_lng_ss}, }


DOI

Owner

  • Name: ready4
  • Login: ready4-dev
  • Kind: organization
  • Email: matthew.hamilton@orygen.org.au
  • Location: Melbourne, Australia

A suite of authoring, modelling and prediction tools for exploring topics in young people's mental health

Citation (CITATION.cff) 

cff-version: 1.2.0
message: "Matthew Hamilton and Caroline Gao (2023). ttu_lng_ss: Create a Draft Scientific Manuscript For A Utility Mapping Study. Zenodo. https://doi.org/10.5281/zenodo.5976987. Version 0.9.0.1"
authors:
  - family-names: "Hamilton"
    given-names: "Matthew"
    orcid: https://orcid.org/0000-0001-7407-9194
  - family-names: "Gao"
    given-names: "Caroline"
    orcid: https://orcid.org/0000-0002-0987-2759
title: "ttu_lng_ss: Create a Draft Scientific Manuscript For A Utility Mapping Study"
version: 0.9.0.1
doi: doi:10.5281/zenodo.5976987
date-released: 2023-06-23

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