ArticleJournal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America2022
Fast Univariate Inference for Longitudinal Functional Models.
Article in Journal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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Who cites it
22 citing papers in PubMed, 49 citations in OpenAlex.
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- ABEL: an active-learning behavior estimation and labeling platform.bioRxiv : the preprint server for biology · 2026Article
- Altered thalamo-prefrontal synchrony dynamics during spatial working memory task performance in a SETD1A loss-of-function mouse model of schizophrenia predisposition.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026Article
- Variable Selection for Fixed and Random Effects in Multilevel Functional Mixed Effects Models.Statistics in medicine · 2026Article
- Fast penalized generalized estimating equations for large longitudinal functional datasets.Biometrics · 2026Article
- Correcting Measurement Error and Zero Inflation in Functional Covariates for Scalar-on-Function Quantile Regression.Statistics in medicine · 2026Article
- Altered thalamo-prefrontal synchrony dynamics during spatial working memory task performance in a SETD1A loss-of-function mouse model of schizophrenia predisposition.bioRxiv : the preprint server for biology · 2026Article
- Beyond scalar metrics: functional data analysis of postprandial continuous glucose monitoring in the AEGIS study.BMC medical research methodology · 2026Article
- The encoding of interoceptive-based predictions by the paraventricular nucleus of the thalamus D2R+ neurons.iScience · 2026Article
- Functional quantile principal component analysis.Biostatistics (Oxford, England) · 2025Article
- Tutorial on Bayesian Functional Regression Using Stan.Statistics in medicine · 2025Article
- Article
- A statistical framework for analysis of trial-level temporal dynamics in fiber photometry experiments.eLife · 2025Article
- A Statistical Framework for Analysis of Trial-Level Temporal Dynamics in Fiber Photometry Experiments.bioRxiv : the preprint server for biology · 2024Article
- Smartphone Screen Time Characteristics in People With Suicidal Thoughts: Retrospective Observational Data Analysis Study.JMIR mHealth and uHealth · 2024Observational
- Projection-based two-sample inference for sparsely observed multivariate functional data.Biostatistics (Oxford, England) · 2024Article
- Dissociable encoding of motivated behavior by parallel thalamo-striatal projections.Current biology : CB · 2024Article
- Dissociable encoding of motivated behavior by parallel thalamo-striatal projections.bioRxiv : the preprint server for biology · 2024Article
- Adjusting for bias due to measurement error in functional quantile regression models with error-prone functional and scalar covariates.Biostatistics & epidemiology · 2024Article
- Gender difference in "second-shift" physical activity: New insights from analyzing accelerometry data in a nationally representative sample.SSM - population health · 2023Article
Corrections and comments
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Authors and funding
4 authors at 3 institutions in 1 country.
Funding
Abstract
We propose fast univariate inferential approaches for longitudinal Gaussian and non-Gaussian functional data. The approach consists of three steps: (1) fit massively univariate pointwise mixed effects models; (2) apply any smoother along the functional domain; and (3) obtain joint confidence bands using analytic approaches for Gaussian data or a bootstrap of study participants for non-Gaussian data. Methods are motivated by two applications: (1) Diffusion Tensor Imaging (DTI) measured at multiple visits along the corpus callosum of multiple sclerosis (MS) patients; and (2) physical activity data measured by body-worn accelerometers for multiple days. An extensive simulation study indicates that model fitting and inference are accurate and much faster than existing approaches. Moreover, the proposed approach was the only one that was computationally feasible for the physical activity data application. Methods are accompanied by R software, though the method is "read-and-use", as it can be implemented by any analyst who is familiar with mixed effects model software.
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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.