Results 21 to 30 of about 3,064,262 (335)

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

open access: yesEntropy, 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   +5 more
doaj   +1 more source

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

open access: yes, 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

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

open access: yesDemographic 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   +3 more
doaj   +1 more source

Learning loss and learning inequality during the Covid-19 pandemic

open access: yesEnsaio, 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   +2 more
doaj   +1 more source

Nonlinear Models for Longitudinal Data [PDF]

open access: yesThe 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   +3 more
openaire   +5 more sources

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

open access: yes, 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   +6 more
core   +3 more sources

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

open access: yesFrontiers 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   +5 more
doaj   +1 more source

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

open access: yes, 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   +3 more
core   +1 more source

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

open access: yesInternational 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   +25 more
doaj   +1 more source

追蹤資料分析中隨時間變動解釋變項平減之研究 Centering on the Time-Varying Independent Variables in Longitudinal Data Analysis

open access: yesJournal of Research in Education Sciences, 2015
利用多層次模式或是階層線性模式進行重複觀測資料的分析,如果個體層次解釋變項包含隨時間變動解釋變項時,在個體層次方程式對它不平減或是總平減所獲得的迴歸係數是一個偏誤的結果,因為這個隨時間變動的解釋變項具有追蹤與橫斷面的資料特性,對個體層次結果變項的影響可以拆解為互斥的組間迴歸係數與組內迴歸係數,因此,必須利用組平減並將組平均數置回截距項方程式方能獲得正確的估計結果。但在不平減、總平減與組平減三種方法下都加上組平均數置回截距項方程式,在隨機截距模型下則會獲得等價的估計結果 ...
溫福星 Fur-Hsing Wen
doaj   +1 more source

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