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Multivariate Longitudinal Microbiome Models
Chapter 15 mainly introduced the glmmTMB, GLMMadaptive, and FZINBMM packages. However, all these three packages... -
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Linear Mixed-Effects Models for Longitudinal Microbiome Data
Longitudinal microbiome data analysis can be categorized into two approaches: univariate longitudinal analysis and multivariate longitudinal... -
Longitudinal phenotypic aging metrics in the Baltimore Longitudinal Study of Aging
To define metrics of phenotypic aging, it is essential to identify biological and environmental factors that influence the pace of aging. Previous...
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Purpose in life and slow walking speed: cross-sectional and longitudinal associations
The present research examines the association between purpose in life – a component of well-being defined as the feeling that one’s life is...
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Persistent dyslipidemia increases the longitudinal changes in telomere length
Background and aimsLeukocyte telomere length (LTL) as a ‘biological clock’ of aging is closely related to human health, its association with an...
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An empirical measure of resilience explains individual differences in the effect of tau pathology on memory change in aging
Accurately measuring resilience to preclinical Alzheimer’s disease (AD) pathology is essential to understanding an important source of variability in...
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Organ of Corti vibrations are dominated by longitudinal motion in vivo
Recent observations of sound-evoked vibrations of the cochlea’s sensory organ of Corti (ooC) using optical coherence tomography (OCT) have revealed...
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Associations between epigenetic aging and diabetes mellitus in a Swedish longitudinal study
Diabetes mellitus type 2 (T2D) is associated with accelerated biological aging and the increased risk of onset of other age-related diseases....
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APOEε4 potentiates amyloid β effects on longitudinal tau pathology
The mechanisms by which the apolipoprotein E ε4 ( APOE ε4) allele influences the pathophysiological progression of Alzheimer’s disease (AD) are poorly...
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Longitudinal monitoring of the mouse brain reveals heterogenous network trajectories during aging
The human aging brain is characterized by changes in network efficiency that are currently best captured through longitudinal resting-state...
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Longitudinal fragility phenoty** contributes to the prediction of lifespan and age-associated morbidity in C57BL/6 and Diversity Outbred mice
Aging studies in mammalian models often depend on natural lifespan data as a primary outcome. Tools for lifespan prediction could accelerate these...
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coda4microbiome: compositional data analysis for microbiome cross-sectional and longitudinal studies
BackgroundOne of the main challenges of microbiome analysis is its compositional nature that if ignored can lead to spurious results. Addressing the...
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Longitudinal changes in the functional connectivity of individuals at risk of Alzheimer’s disease
First-degree relatives of Alzheimer’s disease patients constitute a key population in the search for early markers. Our group identified functional...
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Evaluation of longitudinal passive immunity transfer against lumpy skin disease virus in calves by different serological methods
To implement effective lumpy skin disease (LSD) control measures, such as timely vaccination, particularly in calves and serological monitoring, it...
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Long-term prognostic value of left atrial longitudinal strain in an elderly community-based cohort
Despite the well-known importance of left atrial (LA) mechanics in diastolic function, data are scarce regarding the prognostic power of LA...
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Serum neurofilament light and white matter characteristics in the general population: a longitudinal analysis
Neurofilament light polypeptide (NfL) is a component of the neuronal cytoskeleton and particularly abundant in large-caliber axons. When axonal...
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LACE 2.0: an interactive R tool for the inference and visualization of longitudinal cancer evolution
BackgroundLongitudinal single-cell sequencing experiments of patient-derived models are increasingly employed to investigate cancer evolution. In...
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Speech connectedness predicts reading performance three months in advance: a longitudinal experiment
Aiming to verify the predictive value of oral narrative structure on reading acquisition, we followed 253 children (first and second graders) during...
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DeepMPM: a mortality risk prediction model using longitudinal EHR data
BackgroundAccurate precision approaches have far not been developed for modeling mortality risk in intensive care unit (ICU) patients. Conventional...