ArticleStat (International Statistical Institute)
Longitudinal Functional Data Analysis.
Article in Stat (International Statistical Institute). The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06060925 (Multimodal Imaging Biomarkers for Investigating Fascia, Muscle and Vasculature in Myofascial Pain), which is not on this map. Cited by 32 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Multimodal Imaging Biomarkers for Investigating Fascia, Muscle and Vasculature in Myofascial Pain
Who cites it
32 citing papers in PubMed.
- Variable Selection for Fixed and Random Effects in Multilevel Functional Mixed Effects Models.Statistics in medicine · 2026Article
- Central Posterior Envelopes for Bayesian Longitudinal Functional Principal Component Analysis.Statistics in biosciences · 2025Article
- Bayesian covariance regression in functional data analysis with applications to functional brain imaging.The international journal of biostatistics · 2025Article
- DYNAMIC PREDICTION WITH MULTIVARIATE LONGITUDINAL OUTCOMES AND LONGITUDINAL MAGNETIC RESONANCE IMAGING DATA.The annals of applied statistics · 2025Article
- Quantile Regression for Longitudinal Functional Data with Application to Feed Intake of Lactating Sows.Journal of agricultural, biological, and environmental statistics · 2025Article
- Functional Principal Component Analysis for Continuous Non-Gaussian, Truncated, and Discrete Functional Data.Statistics in medicine · 2024Article
- A novel two-way functional linear model with applications in human mortality data analysis.Journal of applied statistics · 2024Article
- Recurrent event analysis in the presence of real-time high frequency data via random subsampling.Journal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America · 2024Article
- A nonparametric test of group distributional differences for hierarchically clustered functional data.Biometrics · 2023Article
- Central Posterior Envelopes for Bayesian Functional Principal Component Analysis.Journal of data science : JDS · 2023Article
- A functional model for studying common trends across trial time in eye tracking experiments.Statistics in biosciences · 2023Article
- Fast Multilevel Functional Principal Component Analysis.Journal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America · 2023Article
- Multilevel hybrid principal components analysis for region-referenced functional electroencephalography data.Statistics in medicine · 2022Article
- Fixed-effects inference and tests of correlation for longitudinal functional data.Statistics in medicine · 2022Article
- Bayesian analysis of longitudinal and multidimensional functional data.Biostatistics (Oxford, England) · 2022Article
- A study of longitudinal trends in time-frequency transformations of EEG data during a learning experiment.Computational statistics & data analysis · 2022Article
- Covariate-adjusted hybrid principal components analysis for region-referenced functional EEG data.Statistics and its interface · 2022Article
- Multilevel modeling of spatially nested functional data: Spatiotemporal patterns of hospitalization rates in the US dialysis population.Statistics in medicine · 2021Article
- A functional mixed model for scalar on function regression with application to a functional MRI study.Biostatistics (Oxford, England) · 2021Article
- REGION-REFERENCED SPECTRAL POWER DYNAMICS OF EEG SIGNALS: A HIERARCHICAL MODELING APPROACH.The annals of applied statistics · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
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 modeling framework for repeatedly observed functional observations that allows to extract low dimensional features. The proposed methodology accounts for the longitudinal design, is designed to study the dynamic behavior of the underlying process, allows prediction of full future trajectory, and is computationally fast. Theoretical properties of this framework are studied and numerical investigations confirm excellent behavior in finite samples. The proposed method is motivated by and applied to a diffusion tensor imaging study of multiple sclerosis.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.