Global ETD Search
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Showing 1 to 6 of 6 for “"Multivariate longitudinal data"”.
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Semiparametric analysis of multivariate longitudinal data
… OF MISSOURI-COLUMBIA AT AUTHOR'S REQUEST.] Longitudinal studies are conducted widely in fields such as agriculture and life sciences, business and industry, demography and other social sciences, medicine and public health. In longitudinal studies, individuals are measured repeatedly over …
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Analysis of Multivariate Longitudinal Data Using Structural Equation Modeling
… econometrics, and biometrics. It is a multivariate technique which combines the different statistical methodologies, such as regression analysis, simultaneous equations, path analysis, and latent factor analysis under the framework of Structural Equation Modeling (SEM). In the past few …
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JOINT MODELING OF MULTIVARIATE LONGITUDINAL DATA AND COMPETING RISKS DATA
… it is common to observe one or more sequences of longitudinal measurements, as well as one or more time to event outcomes. A competing risks situation arises when the probability of occurrence of one event isaltered/hindered by another time to event. A classical example is different causes of …
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Dynamic Prediction of Disease Progression With Longitudinal Data
… time-to-event outcomes based on evolving longitudinal data. This process often leverages the integration of longitudinal and time-to-event data through joint modeling, a prevalent technique. Alongside joint modeling, landmark modeling stands as another key approach in the realm of …
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Dynamic factor analysis with dependent Gaussian processes for high-dimensional biomarker trajectories
The increasing availability of high-dimensional, longitudinal measures of biomarkers can facilitate understanding of biological mechanisms, as required for precision medicine. Biological knowledge suggests that it may be best to describe complex diseases at the level of underlying pathways, which …
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Longitudinal analysis of three-dimensional facial shape data
Shape data encompass all the information that is left to describe a shape following removal of location, rotation and scale effects. Much work has been done in the analysis of two-dimensional shapes depicted by anatomical landmarks placed at points of importance. Less has been carried out in the …