Results 11 to 20 of about 2,996,820 (336)
Tracking Infant Development With a Smartphone: A Practical Guide to the Experience Sampling Method
Frontiers in Psychology, 2021 The COVID-19 pandemic has forced developmental researchers to rethink their traditional research practices. The growing need to study infant development at a distance has shifted our research paradigm to online and digital monitoring of infants and ...
Marion I. van den Heuvel +9 more
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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.
Jansen, J.J. +4 more
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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 +2 more
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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 +5 more
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International Journal of Population Data Science, 2018 Background Losing independence is a concern for older people, and sadly a reality for many. In Scotland there is an ageing population and unlike the rest of the UK, a policy to provide free personal and nursing care for those in need of assistance; this ...
D. Helen Corby +4 more
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Frontiers in Psychology, 2022 ObjectiveTo investigate the reciprocal relationship between high school students’ academic self-efficacy and achievement in mathematics using US data from the HSLS:2009 and first follow-up longitudinal surveys, while accounting for biases in effect ...
Chris Sakellariou
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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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Multilinear tensor regression for longitudinal relational data [PDF]
, 2015 A fundamental aspect of relational data, such as from a social network, is the possibility of dependence among the relations. In particular, the relations between members of one pair of nodes may have an effect on the relations between members of another
Hoff, Peter D.
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Empirical dynamics for longitudinal data [PDF]
The Annals of Statistics, 2010 Published in at http://dx.doi.org/10.1214/09-AOS786 the Annals of Statistics (http://www.imstat.org/aos/) by the Institute of Mathematical Statistics (http://www.imstat.org)
Müller, Hans-Georg, Yao, Fang
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Transformations of covariates for longitudinal data [PDF]
Biostatistics, 2003 This paper develops a general approach for dealing with parametric transformations of covariates for longitudinal data, where the responses are modeled marginally and generalized estimating equations (GEEs) are used for estimation of regression parameters.
Helene R. White +2 more
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