Software Application Profile: TIDAL – Tool to Implement Developmental Analysis of Longitudinal data

Alex S.F.  Kwong; Amelia Edmondson-Stait; Eileen Y Xu; Ellen J. Thompson; Richard M A Parker; Ahmed  Elhakeem; Liana Romaniuk; Rebecca Pearson; Kate M Tilling; Thalia C Eley; Andrew M. McIntosh; Heather C Whalley

doi:10.1093/ije/dyaf095

Software Application Profile: TIDAL – Tool to Implement Developmental Analysis of Longitudinal data

Alex S.F. Kwong^*, Amelia Edmondson-Stait, Eileen Y Xu, Ellen J. Thompson, Richard M A Parker, Ahmed Elhakeem, Liana Romaniuk, Rebecca Pearson, Kate M Tilling, Thalia C Eley, Andrew M. McIntosh, Heather C Whalley

^*Corresponding author for this work

Research output: Contribution to journal › Article (Academic Journal) › peer-review

Abstract

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.

Original language	English
Article number	dyaf095
Number of pages	8
Journal	International Journal of Epidemiology
Volume	54
Issue number	4
Early online date	6 Jul 2025
DOIs	https://doi.org/10.1093/ije/dyaf095
Publication status	Published - 1 Aug 2025

Bibliographical note

Publisher Copyright:
© The Author(s) 2025. Published by Oxford University Press on behalf of the International Epidemiological Association.

Access to Document

10.1093/ije/dyaf095Licence: CC BY

Handle.net

Persistent link

Cite this

Kwong, A. S. F., Edmondson-Stait, A., Xu, E. Y., Thompson, E. J., Parker, R. M. A., Elhakeem, A., Romaniuk, L., Pearson, R., Tilling, K. M., Eley, T. C., McIntosh, A. M., & Whalley, H. C. (2025). Software Application Profile: TIDAL – Tool to Implement Developmental Analysis of Longitudinal data. International Journal of Epidemiology, 54(4), Article dyaf095. https://doi.org/10.1093/ije/dyaf095

@article{3484eacbb6b74d0084f45646f4162736,

title = "Software Application Profile: TIDAL – Tool to Implement Developmental Analysis of Longitudinal data",

abstract = "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.",

author = "Kwong, \{Alex S.F.\} and Amelia Edmondson-Stait and Xu, \{Eileen Y\} and Thompson, \{Ellen J.\} and Parker, \{Richard M A\} and Ahmed Elhakeem and Liana Romaniuk and Rebecca Pearson and Tilling, \{Kate M\} and Eley, \{Thalia C\} and McIntosh, \{Andrew M.\} and Whalley, \{Heather C\}",

note = "Publisher Copyright: {\textcopyright} The Author(s) 2025. Published by Oxford University Press on behalf of the International Epidemiological Association.",

year = "2025",

month = aug,

day = "1",

doi = "10.1093/ije/dyaf095",

language = "English",

volume = "54",

journal = "International Journal of Epidemiology",

issn = "0300-5771",

publisher = "Oxford University Press",

number = "4",

}

TY - JOUR

T1 - Software Application Profile: TIDAL – Tool to Implement Developmental Analysis of Longitudinal data

AU - Kwong, Alex S.F.

AU - Edmondson-Stait, Amelia

AU - Xu, Eileen Y

AU - Thompson, Ellen J.

AU - Parker, Richard M A

AU - Elhakeem, Ahmed

AU - Romaniuk, Liana

AU - Pearson, Rebecca

AU - Tilling, Kate M

AU - Eley, Thalia C

AU - McIntosh, Andrew M.

AU - Whalley, Heather C

PY - 2025/8/1

Y1 - 2025/8/1

N2 - 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.

AB - 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.

U2 - 10.1093/ije/dyaf095

DO - 10.1093/ije/dyaf095

M3 - Article (Academic Journal)

C2 - 40618225

SN - 0300-5771

VL - 54

JO - International Journal of Epidemiology

JF - International Journal of Epidemiology

IS - 4

M1 - dyaf095

ER -

Software Application Profile: TIDAL – Tool to Implement Developmental Analysis of Longitudinal data

Abstract

Bibliographical note

Access to Document

Handle.net

Fingerprint

Cite this