Software Application Profile: TIDAL—Tool to Implement Developmental Analysis of Longitudinal data
Key Features TIDAL is a free and easily accessible research tool for analysing, visualizing and interpreting growth curve model data. TIDAL can plot complex, non-linear trajectories and aid in interpretation of those trajectories throgh features such as trajectory visualization, calculating scores at different ages and the area under the curve. TIDAL can examine interactions between trajectories and continuous or categorical covariates to obtain group specific trajectories. TIDAL is available in three formats: an R package, a Docker Image and an online RShiny application.
Authors
- Ellen J. Thompson (ORCID: https://orcid.org/0000-0003-2118-821X)
- Thalia Catherine Eley (ORCID: https://orcid.org/0000-0001-6458-0700)
- Andrew Mark McIntosh (ORCID: https://orcid.org/0000-0002-0198-4588)
- Ahmed Elhakeem (ORCID: https://orcid.org/0000-0001-7637-6360)
- Kate M. Tilling (ORCID: https://orcid.org/0000-0002-1010-8926)
- Liana Romaniuk (ORCID: https://orcid.org/0000-0002-3823-8052)
- Rebecca M. Pearson (ORCID: https://orcid.org/0000-0001-8527-3400)
- Amelia Edmondson-Stait (ORCID: https://orcid.org/0000-0003-1456-5128)
- Alex S. F. Kwong (ORCID: https://orcid.org/0000-0003-1953-2771)
- Heather C. Whalley (ORCID: https://orcid.org/0000-0002-4505-8869)
- Eileen Y. Xu (ORCID: https://orcid.org/0009-0003-5044-1437)
- Randall M. Parker (ORCID: https://orcid.org/0000-0002-3933-9728)
Institutions
- Manchester Metropolitan University (GB)
- University of Sussex (GB)
- King's College London (GB)
- University of Bristol (GB)
- MRC Epidemiology Unit (GB)
- University of Edinburgh (GB)
Publication Details
- Journal
- International Journal of Epidemiology
- Published
- 2025-06-11
- DOI
- https://doi.org/10.1093/ije/dyaf095
- Citations
- 2
- Primary Topic
- Health, Environment, Cognitive Aging
- Type
- article
- Field-Weighted Citation Impact
- 2.40
Funders
- Wellcome Trust
- University of Bristol
- Medical Research Council