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LorDist: a novel method for calculating the distance based on functional data analysis with application to longitudinal microbial data [PDF]

Microbiology Spectrum
Longitudinal human microbial data offer insights into microbiome dynamics over time. Traditional methods usually overlook temporal relationships among samples from the same subject.
Xinhe Qi, Menghan Zhang, Tongqing Wei, Jinran Lin, Xingming Zhao, Yin Yao, Yueqing Hu, Yan Zheng   +7 more
doaj   +2 more sources

Bayesian Functional Data Analysis in Astronomy

Physical Sciences Forum
Cosmic demographics—the statistical study of populations of astrophysical objects—has long relied on tools from multivariate statistics for analyzing data comprising fixed-length vectors of properties of objects, as might be compiled in a tabular ...
Thomas Loredo, Tamás Budavári, David Kent, David Ruppert   +3 more
doaj   +3 more sources

Semi-automated thrombin dynamics applying the ST Genesia thrombin generation assay

Frontiers in Cardiovascular Medicine, 2022
BackgroundThe haemostatic balance is an equilibrium of pro- and anticoagulant factors that work synergistically to prevent bleeding and thrombosis.
Audrey Carlo, Qiuting Yan, Qiuting Yan, Hugo Ten Cate, Romy De Laat-Kremers, Romy De Laat-Kremers, Bas De Laat, Bas De Laat, Marisa Ninivaggi   +8 more
doaj   +1 more source

Assessing the individual roles of FII, FV, and FX activity in the thrombin generation process

Frontiers in Cardiovascular Medicine, 2022
Thrombin generation (TG) is known as a physiological approach to assess the hemostatic function. Although it correlates well with thrombosis and bleeding, in the current setup it is not sensitive to the effects of fluctuations in single coagulation ...
Cuicui Bai, Cuicui Bai, Joke Konings, Joke Konings, Marisa Ninivaggi, Marcus Lancé, Bas de Laat, Bas de Laat, Romy de Laat-Kremers   +8 more
doaj   +1 more source

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
openaire   +3 more sources

Tailoring the effect of antithrombin-targeting therapy in haemophilia A using in silico thrombin generation

Scientific Reports, 2021
Factor (F) VIII deficiency causes bleeding in haemophilia A patients because of the reduced formation of procoagulant enzyme thrombin, which is needed to make the blood clot.
Romy M. W. de Laat-Kremers, Marisa Ninivaggi, Iris van Moort, Moniek de Maat, Bas de Laat   +4 more
doaj   +1 more source

Functional data analysis in shape analysis [PDF]

Computational Statistics & Data Analysis, 2011
Mid-level processes on images often return outputs in functional form. In this context the use of functional data analysis (FDA) in image analysis is considered. In particular, attention is focussed on shape analysis, where the use of FDA in the functional approach (contour functions) shows its superiority over other approaches ...
Irene Epifanio, Noelia Ventura-Campos
openaire   +2 more sources

Coagulation parameters predict COVID-19-related thrombosis in a neural network with a positive predictive value of 98%

Frontiers in Immunology, 2022
Thrombosis is a major clinical complication of COVID-19 infection. COVID-19 patients show changes in coagulation factors that indicate an important role for the coagulation system in the pathogenesis of COVID-19.
Romy de Laat-Kremers, Raf De Jongh, Raf De Jongh, Marisa Ninivaggi, Aernoud Fiolet, Rob Fijnheer, Jasper Remijn, Bas de Laat, Bas de Laat   +8 more
doaj   +1 more source

Abacavir use is associated with increased prothrombin conversion

Frontiers in Immunology, 2023
There is ongoing debate as to whether abacavir (ABC) increases the risk for cardiovascular disease(CVD) in people living with HIV (PLHIV) and the mechanisms underlying this possible association.
Qiuting Yan, Qiuting Yan, Shengshi Huang, Shengshi Huang, Wouter van der Heijden, Marisa Ninivaggi, Lisa van de Wijer, Romy de Laat-Kremers, Andre J. Van der Ven, Bas de Laat, Bas de Laat, Quirijn de Mast   +11 more
doaj   +1 more source

Optimal Estimation of Large Functional and Longitudinal Data by Using Functional Linear Mixed Model

Mathematics, 2022
The estimation of large functional and longitudinal data, which refers to the estimation of mean function, estimation of covariance function, and prediction of individual trajectory, is one of the most challenging problems in the field of high ...
Mengfei Ran, Yihe Yang
doaj   +1 more source