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Longitudinal Functional Data Analysis [PDF]

Stat, 2015
We consider analysis of dependent functional data that are correlated because of a longitudinal-based design: each subject is observed at repeated time visits and for each visit we record a functional variable.
Park, So Young, Staicu, Ana-Maria
core   +3 more sources

Inverse regression for longitudinal data [PDF]

The Annals of Statistics, 2015
Sliced inverse regression (Duan and Li [Ann. Statist. 19 (1991) 505-530], Li [J. Amer. Statist. Assoc. 86 (1991) 316-342]) is an appealing dimension reduction method for regression models with multivariate covariates.
Jiang, Ci-Ren, Wang, Jane-Ling, Yu, Wei
core   +4 more sources

Linkage analysis of longitudinal data [PDF]

BMC Genetics, 2003
Abstract Background We propose a statistical model for linkage analysis of the longitudinal data. The proposed model is a mixed model based on the new Haseman and Elston model and allows several random effects.
Young Ju Suh, Taesung Park, Soo Yeon Cheong   +2 more
openalex   +5 more sources

Creating a longitudinal dataset of care experienced children in Scotland – Administrative Data Research Scotland.

International Journal of Population Data Science, 2022
To create a dataset which describes the care experience of children in Scotland data.  To share with analysts in a safe setting to allow linkage, and provide information on the strengths and weaknesses.
Cecilia Macintyre, Gillian Raab
doaj   +1 more source

Variability and agreement of frailty measures and risk of falls, hospital admissions and mortality in TILDA

Scientific Reports, 2022
Little is known about the within-person variability of different frailty instruments, their agreement over time, and whether use of repeat assessments could improve the strength of associations with adverse health outcomes.
Dani J. Kim, M. Sofia Massa, Robert Clarke, Siobhan Scarlett, Aisling M. O’Halloran, Rose Anne Kenny, Derrick Bennett   +6 more
doaj   +1 more source

Towards a standardised cross-sectoral data access agreement template for research: a core set of principles for data access within trusted research environments

International Journal of Population Data Science, 2023
Introduction Trusted Research Environments (TREs) are secure computing environments that provide access to data for approved researchers to use in studies that can save and improve lives.
Rachel Brophy, Ester Bellavia, Maeve Groot Bluemink, Katharine Evans, Munisa Hashimi, Yemi Macaulay, Edel McNamara, Allison Noble, Paola Quattroni, Amanda Rudczenko, Andrew D Morris, Cassie Smith, Andy Boyd   +12 more
doaj   +1 more source

Ignorability for general longitudinal data [PDF]

Biometrika, 2017
Likelihood factors that can be disregarded for inference are termed ignorable. We demonstrate that close ties exist between ignorability and identification of causal effects by covariate adjustment. A graphical condition, stability, plays a role analogous to that of missingness at random, but is applicable to general longitudinal data.
Farewell, D. M., Huang, C., Didelez, V.
openaire   +6 more sources

Answer Refused: Exploring How Item Non-response on Domestic Abuse Questions in a Social Survey Affects Analysis

Survey Research Methods, 2022
We explore the pattern, potential drivers, and implications of item non-response on survey questions about domestic abuse. We draw on a longitudinal representative prospective survey on children and their families in Scotland (N:3646) and use ...
Valeria Skafida, Fiona Morrison, John Devaney   +2 more
doaj   +1 more source

Measurement in Intensive Longitudinal Data

Structural Equation Modeling: A Multidisciplinary Journal, 2021
Technological advances have increased the prevalence of intensive longitudinal data as well as statistical techniques appropriate for these data, such as dynamic structural equation modeling (DSEM). Intensive longitudinal designs often investigate constructs related to affect or mood and do so with multiple item scales.
Daniel McNeish, David P. Mackinnon, Lisa A. Marsch, Russell A. Poldrack   +3 more
openaire   +4 more sources

Impact of the COVID-19 Pandemic on Children With Neurodevelopmental Disorders When School Closures Were Lifted

Frontiers in Pediatrics, 2021
Human activities have been changing in conjunction with the status of the coronavirus disease 2019 (COVID-19) pandemic, with school closures and activity cancellations becoming commonplace. As such, the COVID-19 pandemic likely also has had a detrimental
Kota Suzuki, Michio Hiratani
doaj   +1 more source