squba
This is an encompassing "verse" package for SSDQA ecosystem. It will download all currently available modules when installed
Science Score: 44.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
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✓codemeta.json file
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✓.zenodo.json file
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○DOI references
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○Academic publication links
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (7.2%) to scientific vocabulary
Last synced: 10 months ago
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Repository
This is an encompassing "verse" package for SSDQA ecosystem. It will download all currently available modules when installed
Basic Info
- Host: GitHub
- Owner: ssdqa
- License: mpl-2.0
- Language: R
- Default Branch: main
- Size: 17.6 KB
Statistics
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
- Releases: 0
Created over 1 year ago
· Last pushed about 1 year ago
Metadata Files
Readme
License
Citation
README.md
Study-Specific Quality, Utility, and Breadth Assessment (squba)
Welcome to the SQUBA ecosystem! This package will download all currently available modules, of which there are 9 (as of 11/2024).
Install the development version of the package:
r
devtools::install_github('ssdqa/squba')
If you would like to install individual modules, navigate to the appropriate repository for installation instructions.
Available Modules
- Cohort Fitness
- Patient Facts: Assesses the availability of patient clinical data per year of follow-up as a factor of visit type
- Patient Event Sequencing: Evaluates the plausibility of the temporal relationship between two clinical events
- Patient Record Consistency: Checks for consistency within a patient's clinical record to ensure the information is confirmatory and complete
- Variable Testing
- Expected Variables Present: Evaluates the presence and distribution of study variables
- Concept-Set Testing
- Concept Set Distribution: Computes the distribution of concepts that make up a given study variable
- Source and Concept Vocabularies: Identifies and summarizes concept mappings for source-to-concept or concept-to-source relationships
- Dataset Fitness
- Clinical Events & Specialties: Assesses the concordance between a clinical event and the associated specialtist providers or care sites
- Cohort Identification
- Cohort Attrition: Examine each step of a study's attrition criteria to identify potential irregularities in cohort construction
- Sensitivity to Selection Criteria: Compare demographics, utilization patterns, and clinical fact makeup of a base cohort definition to alternate cohort definitions
Owner
- Name: ssdqa
- Login: ssdqa
- Kind: organization
- Repositories: 1
- Profile: https://github.com/ssdqa
Citation (CITATION.cff)
# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!
cff-version: 1.2.0
title: SQUBA
message: "If you use this software, please cite it using the metadata from this file."
type: software
authors:
- given-names: Hanieh
family-names: Razzaghi
email: razzaghih@chop.edu
- given-names: Kaleigh
family-names: Wieand
email: wieandk@chop.edu
- given-names: Kim
family-names: Dickinson
email: dickinsokl@chop.edu
- given-names: Charles
family-names: Bailey
email: baileyc@chop.edu
repository-code: 'https://github.com/ssdqa/squba'
license: MPL-2.0
GitHub Events
Total
- Push event: 1
Last Year
- Push event: 1
Dependencies
DESCRIPTION
cran
- cli * imports
- clinicalevents.specialties >= 0.0.0.9000 imports
- cohortattrition >= 0.0.0.9000 imports
- conceptsetdistribution >= 0.0.0.9000 imports
- crayon * imports
- expectedvariablespresent >= 0.0.0.9000 imports
- patienteventsequencing >= 0.0.0.9000 imports
- patientfacts >= 0.0.0.9000 imports
- patientrecordconsistency >= 0.0.0.9000 imports
- rstudioapi * imports
- sensitivityselectioncriteria >= 0.0.0.9000 imports
- sourceconceptvocabularies >= 0.0.0.9000 imports
- utils * imports