Results 1 to 10 of about 3,168,034 (334)

Longitudinal functional data analysis [PDF]

Stat, 2015
We consider dependent functional data that are correlated because of a longitudinal‐based design: each subject is observed at repeated times and at each time, a functional observation (curve) is recorded. We propose a novel parsimonious modelling framework for repeatedly observed functional observations that allows to extract low‐dimensional features ...
Park, So Young, Staicu, Ana-Maria
openaire   +4 more sources

Gaussian Process Regression for Value-Censored Functional and Longitudinal Data. [PDF]

Stat Med
Gorm Hoffmann A, Thorn Ekstrøm C, Zeymer Christoffersen B, Kryger Jensen A.   +3 more
europepmc   +2 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

The relationship between fundamental motor skills and physical fitness in preschoolers: a short-term longitudinal study

Frontiers in Psychology, 2023
PurposePhysical fitness and fundamental motor skills are two important aspects for the healthy development of preschoolers. Despite the growing interest in clarifying their relationship, the scarcity of longitudinal studies prevents us from understanding
Jiebo Chen, Jiebo Chen, Wenjing Song, Xing Zhao, Hu Lou, Dongmei Luo   +5 more
doaj   +1 more source

Development and visualization of a risk prediction model for metabolic syndrome: a longitudinal cohort study based on health check-up data in China

Frontiers in Nutrition, 2023
AimOur study aimed to construct a practical risk prediction model for metabolic syndrome (MetS) based on the longitudinal health check-up data, considering both the baseline level of physical examination indicators and their annual average cumulative ...
Wenxi Liu, Xiao Tang, Tongcheng Cui, Hui Zhao, Guirong Song   +4 more
doaj   +1 more source

The factors associated with entry to formal care for the elderly in Scotland: A longitudinal analysis

International Journal of Population Data Science, 2018
Background Losing independence is a concern for older people, and sadly a reality for many. In Scotland there is an ageing population and unlike the rest of the UK, a policy to provide free personal and nursing care for those in need of assistance; this ...
D. Helen Corby, Dawn Everington, John Starr, Ian J. Deary, Chris Dibben   +4 more
doaj   +1 more source

What Makes You Hold on to That Old Car? Joint Insights From Machine Learning and Multinomial Logit on Vehicle-Level Transaction Decisions

Frontiers in Future Transportation, 2022
What makes you hold on to that old car? While the vast majority of household vehicles are still powered by conventional internal combustion engines, the progress of adopting emerging vehicle technologies will critically depend on how soon the existing ...
Ling Jin, Alina Lazar, Caitlin Brown, Bingrong Sun, Venu Garikapati, Srinath Ravulaparthy, Qianmiao Chen, Alexander Sim, Kesheng Wu, Tin Ho, Thomas Wenzel, C. Anna Spurlock   +11 more
doaj   +1 more source

Inverse regression for longitudinal data [PDF]

, 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   +1 more source