Results 1 to 10 of about 3,226,732 (338)

An approach for jointly modeling multivariate longitudinal measurements and discrete time-to-event data [PDF]

Annals of Applied Statistics 2010, Vol. 4, No. 3, 1517-1532, 2010
In many medical studies, patients are followed longitudinally and interest is on assessing the relationship between longitudinal measurements and time to an event. Recently, various authors have proposed joint modeling approaches for longitudinal and time-to-event data for a single longitudinal variable.
Albert, Paul S., Shih, Joanna H.
arxiv   +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

Factors affecting blood sugar changes in diabetic patients using a three-level model in analysis of longitudinal data [PDF]

Caspian Journal of Internal Medicine
Background: Diabetes, a currently threatening disease, has severe consequences for individuals’ health conditions. The present study aimed to investigate the factors affecting the changes in the longitudinal outcome of blood sugar using a three-level ...
Tahereh Rohani, Karimollah Hajian-Tilaki, Mahmoud Hajiahmadi, Behzad Heidari, Natali Rahimi Rahimabadi, Zahra Geraili   +5 more
doaj   +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

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

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

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

Penalized spline estimator with multi smoothing parameters in bi-response multi-predictor nonparametric regression model for longitudinal data [PDF]

Songklanakarin Journal of Science and Technology (SJST), 2020
Penalized spline estimators that depend on a smoothing parameter is one type of estimator used in the estimation regression curve in nonparametric regression.
Anna Islamiyati, Fatmawati, Nur Chamidah
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