Results 21 to 30 of about 3,187,887 (293)

Outcomes of the Health Data Research Network (HDRN) Canada and Canadian Longitudinal Study on Aging (CLSA) Partnership

International Journal of Population Data Science
Objective and Approach The Canadian Longitudinal Study on Aging (CLSA) is the largest national longitudinal cohort study, following ~50,000 adults across 10 provinces for at least 20 years. Health Data Research Network (HDRN) Canada is a distributed pan-
Anne Hayes, Sophie Hogeveen, Jodi Gatley, Andrew Costa, Lauren Griffith, Aaron Jones, Sarah Youssef, Parminder Raina, Andrea Gruneir, Carrie Anne Whyte, Carla Hovey, Marie-Chantal Ethier, Donna Curtis Maillet, Mahmoud Azimaee, Erik Youngson, Tim Choi, Lindsey Gilbert, Magda Nunes De Melo, Lindsay Stewart, Kendra Lester, Katelyn Frizzell, Robyn Kydd, Mary-Ann Standing, Charles Burchill, Dave Towns, Jean-Francois Cantin   +25 more
doaj   +1 more source

Longitudinal Functional Data Analysis

, 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   +1 more source

Modeling left-truncated and right-censored survival data with longitudinal covariates [PDF]

, 2012
There is a surge in medical follow-up studies that include longitudinal covariates in the modeling of survival data. So far, the focus has been largely on right-censored survival data.
Su, Yu-Ru, Wang, Jane-Ling
core   +1 more source

Predictive utility of key family planning indicators on dynamic contraceptive outcomes: Results from longitudinal surveys in Burkina Faso, Kenya, Uganda, and Côte d'Ivoire [PDF]

Demographic Research
BACKGROUND: Many health and demographic surveys routinely collect information on women’s exposure to family planning (FP) messages, counseling on contraceptive side effects, discussions about FP with providers, contraceptive decision-making autonomy, and
Amy Tsui, Dana Sarnak, Phil Anglewicz, Fredrick Makumbi, Georges Guiella, Peter Gichangi, Rosine Mosso, Saifuddin Ahmed   +7 more
doaj   +1 more source

Estimating correlation between multivariate longitudinal data in the presence of heterogeneity [PDF]

, 2017
Background Estimating correlation coefficients among outcomes is one of the most important analytical tasks in epidemiological and clinical research. Availability of multivariate longitudinal data presents a unique opportunity to assess joint evolution ...
Beiser, Julia A, Chen, Ling, Gao, Feng, Gordon, Mae O, Luo, Jingqin, Miller, J. Philip, Xiong, Chengjie   +6 more
core   +3 more sources

Associations between Longitudinal Gestational Weight Gain and Scalar Infant Birth Weight: A Bayesian Joint Modeling Approach

Entropy, 2022
Despite the importance of maternal gestational weight gain, it is not yet conclusively understood how weight gain during different stages of pregnancy influences health outcomes for either mother or child.
Matthew Pietrosanu, Linglong Kong, Yan Yuan, Rhonda C. Bell, Nicole Letourneau, Bei Jiang   +5 more
doaj   +1 more source

Longitudinal Scalar-on-Function Regression with Application to Tractography Data [PDF]

, 2012
We propose a class of estimation techniques for scalar-on-function regression in longitudinal studies where both outcomes, such as test results on motor functions, and functional predictors, such as brain images, may be observed at multiple visits.
Crainiceanu, Ciprian, Gertheiss, Jan, Goldsmith, Jeff, Greven, Sonja   +3 more
core   +1 more source

Functional single index models for longitudinal data

, 2011
A new single-index model that reflects the time-dynamic effects of the single index is proposed for longitudinal and functional response data, possibly measured with errors, for both longitudinal and time-invariant covariates.
Jiang, Ci-Ren, Wang, Jane-Ling
core   +1 more source

Co-development and Adoption of Transparency in Data Access Standards: Process, Implementation, and Impact

International Journal of Population Data Science
Objectives This initiative aimed to enhance transparency in health data access processes by co-developing and implementing clear standards. The goal was to improve public trust and understanding, streamline governance, and promote meaningful public ...
Ester Bellavia, Alan Holcroft, Yemi Macaulay, Doreen Tembo, Cassie Smith, Andy Boyd   +5 more
doaj   +1 more source

A Novel Joint Brain Network Analysis Using Longitudinal Alzheimer's Disease Data. [PDF]

, 2019
There is well-documented evidence of brain network differences between individuals with Alzheimer's disease (AD) and healthy controls (HC). To date, imaging studies investigating brain networks in these populations have typically been cross-sectional ...
Alzheimer’s Disease Neuroimaging Initiative, Galvin, James, Guo, Ying, Kundu, Suprateek, Lukemire, Joshua, Wang, Yikai   +5 more
core   +2 more sources