pharmaverse/admiralmetabolic
Nov 2024 – Nov 2024
1 Month active
Languages Used
R
Technical Skills
Vignette DevelopmentADaM DatasetsClinical Data Standards (CDISC)Data AnalysisR Programming
Kathrin Flunkert
PROFILE
Kathrin Flunkert
Kathrin Flunkert developed a comprehensive ADaM dataset vignette for the Control of Eating Questionnaire (ADCOEQ) within the pharmaverse/admiralmetabolic repository. She used R and applied CDISC clinical data standards to guide users through data ingestion, special handling for item 6, and derivation of four subscales: Craving Control, Craving for Sweet, Craving for Savoury, and Positive Mood. Her work detailed the calculation of change from baseline and questionnaire completion parameters, ensuring reproducibility and clarity for downstream analyses. The vignette provides a ready-to-run workflow, enhancing data readiness and supporting robust data analysis in clinical research environments.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
232
Activity Months1
Your Network
13 people
Work History
November 2024
1 Commits • 1 Features
Nov 1, 2024Month: 2024-11 — pharmaverse/admiralmetabolic: Delivered a new ADaM dataset vignette for the Control of Eating Questionnaire (ADCOEQ). The vignette covers data ingestion, a special handling for item 6, and derivation of four subscales (Craving Control, Craving for Sweet, Craving for Savoury, Positive Mood), with steps for calculating change from baseline and questionnaire completion parameters. This work improves reproducibility and readiness for downstream analyses.
1 Commits • 1 Features
Nov 1, 2024Month: 2024-11 — pharmaverse/admiralmetabolic: Delivered a new ADaM dataset vignette for the Control of Eating Questionnaire (ADCOEQ). The vignette covers data ingestion, a special handling for item 6, and derivation of four subscales (Craving Control, Craving for Sweet, Craving for Savoury, Positive Mood), with steps for calculating change from baseline and questionnaire completion parameters. This work improves reproducibility and readiness for downstream analyses.
November 2024
Activity
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Quality Metrics
Correctness90.0%
Maintainability90.0%
Architecture90.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
R
Technical Skills
Vignette DevelopmentADaM DatasetsClinical Data Standards (CDISC)Data AnalysisR Programming
Repositories Contributed To
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