Results 21 to 30 of about 1,626,021 (272)

The Need for Household Panel Surveys in Times of Crisis: The Case of SOEP-CoV

Survey Research Methods, 2020
The spread of the novel coronavirus, SARS-CoV-2, poses major challenges for individuals and societies at large. The question now is how individuals and society are dealing with these challenges, and what health, psychological, social, and economic
Simon Kühne, Martin Kroh, Stefan Liebig, Sabine Zinn   +3 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

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

Characterization of Inclination Analysis for Predicting Onset of Heart Failure from Primary Care Electronic Medical Records

Sensors, 2023
The aim of this study is to characterize the performance of an inclination analysis for predicting the onset of heart failure (HF) from routinely collected clinical biomarkers extracted from primary care electronic medical records.
Federica Guida, Marta Lenatti, Karim Keshavjee, Alireza Khatami, Aziz Guergachi, Alessia Paglialonga   +5 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

Journal 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

Impact of environmental factors in predicting daily severity scores of atopic dermatitis

Clinical and Translational Allergy, 2021
Background Atopic dermatitis (AD) is a chronic inflammatory skin disease that affects 20% of children worldwide. Environmental factors including weather and air pollutants have been shown to be associated with AD symptoms.
Guillem Hurault, Valentin Delorieux, Young‐Min Kim, Kangmo Ahn, Hywel C. Williams, Reiko J. Tanaka   +5 more
doaj   +1 more source

Multicollinearity and Linear Predictor Link Function Problems in Regression Modelling of Longitudinal Data

Mathematics, 2023
In the longitudinal data analysis we integrate flexible linear predictor link function and high-correlated predictor variables. Our approach uses B-splines for non-parametric part in the linear predictor component.
Mozhgan Taavoni, Mohammad Arashi, Samuel Manda   +2 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

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

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