Results 11 to 20 of about 1,469,254 (314)
Longitudinal functional data analysis [PDF]
Stat, 2015 We consider dependent functional data that are correlated because of a longitudinal‐based design: each subject is observed at repeated times and at each time, a functional observation (curve) is recorded. We propose a novel parsimonious modelling framework for repeatedly observed functional observations that allows to extract low‐dimensional features ...
Park, So Young, Staicu, Ana-Maria
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Analysis of longitudinal metabolomics data [PDF]
Bioinformatics, 2004 Abstract Motivation: Metabolomics datasets are generally large and complex. Using principal component analysis (PCA), a simplified view of the variation in the data is obtained. The PCA model can be interpreted and the processes underlying the variation in the data can be analysed.
Jeroen J. Jansen +4 more
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, 2022 The Australian Longitudinal Study on Women's Health (ALSWH) is a longitudinal population-based survey, first funded in 1995, which examines the health of over 57,000 Australian women.
Mishra, Gita +4 more
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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 +5 more
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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 +3 more
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Social Sciences, 2023 Criminology has been hampered by a lack of longitudinal data to examine the consequences of victimisation. However, recently, ‘Understanding Society’, the United Kingdom Household Panel Survey (UKHLS), began fielding a small battery of questions relating
Niels Blom, Vanessa Gash
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Understanding the impact of fertility history on health outcomes in later life.
International Journal of Population Data Science, 2022 Objectives Aims of this research, involving data linkage and health outcomes, is to gain a full understanding of the impact of both fertility histories and childlessness on health outcomes mid-life accounting for socio-economic background and area of ...
Lee Williamson, Chris Dibben
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Anxiety among healthcare workers during the COVID-19 pandemic: a longitudinal study
Frontiers in Public Health, 2023 BackgroundDuring the COVID-19 pandemic, many healthcare workers faced extreme working conditions and were at higher risk of infection with the coronavirus.
Esmee Bosma +22 more
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Measurement in Intensive Longitudinal Data
Structural Equation Modeling: A Multidisciplinary Journal, 2021 Technological advances have increased the prevalence of intensive longitudinal data as well as statistical techniques appropriate for these data, such as dynamic structural equation modeling (DSEM). Intensive longitudinal designs often investigate constructs related to affect or mood and do so with multiple item scales.
Daniel McNeish +3 more
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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
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