Results 21 to 30 of about 2,996,820 (336)

Summary Review of Data Sources for School to Work Transitions by Youth with Disabilities - Policy Brief [PDF]

, 2002
This brief summarizes our findings from a review of potential data sources to examine school-to-work transitions by youth with disabilities (Wittenburg and Stapleton, 2000).
Stapleton, David C., Wittenburg, David
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

Prospects for the comparative study of international migration using quasi-longitudinal micro-data

Demographic Research, 2016
Background: Longitudinal micro-level data on international migration behavior is notoriously difficult to collect, but data collection efforts have become more frequent in recent years.
Mao-Mei Liu, Mathew J. Creighton, Fernando Riosmena, Pau Baizán   +3 more
doaj   +1 more source

Learning loss and learning inequality during the Covid-19 pandemic

Ensaio, 2023
This paper evaluates the effects of school closure during the Covid-19 pandemic on learning loss and learning inequalities in Rio de Janeiro. It presents longitudinal data for 671 children (5/6 years old) enrolled in the second year of preschool ...
Tiago Lisboa Bartholo, Peter Tymms, Daniel Lopes Castro   +2 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

Nonlinear Models for Longitudinal Data [PDF]

The American Statistician, 2009
While marginal models, random-effects models, and conditional models are routinely considered to be the three main modeling families for continuous and discrete repeated measures with linear and generalized linear mean structures, respectively, it is less common to consider non-linear models, let alone frame them within the above taxonomy.
Serroyen, Jan, Molenberghs, Geert, Verbeke, Geert, Davidian, Marie   +3 more
openaire   +5 more sources

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

Contrasting Classical and Machine Learning Approaches in the Estimation of Value-Added Scores in Large-Scale Educational Data

Frontiers in Psychology, 2020
There is no consensus on which statistical model estimates school value-added (VA) most accurately. To date, the two most common statistical models used for the calculation of VA scores are two classical methods: linear regression and multilevel models ...
Jessica Levy, Dominic Mussack, Martin Brunner, Ulrich Keller, Pedro Cardoso-Leite, Antoine Fischbach   +5 more
doaj   +1 more source

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

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