ArticleJournal of the Royal Statistical Society. Series C, Applied statistics2012
Longitudinal Penalized Functional Regression for Cognitive Outcomes on Neuronal Tract Measurements.
Article in Journal of the Royal Statistical Society. Series C, Applied statistics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.
What it found
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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.
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Who cites it
38 citing papers in PubMed.
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- Quantile Regression for Longitudinal Functional Data with Application to Feed Intake of Lactating Sows.Journal of agricultural, biological, and environmental statistics · 2025Article
- Multilevel Longitudinal Functional Principal Component Model.Statistics in medicine · 2024Article
- SpaceANOVA: Spatial Co-occurrence Analysis of Cell Types in Multiplex Imaging Data Using Point Process and Functional ANOVA.Journal of proteome research · 2024Article
- Subtle microstructural alterations in white matter tracts involved in socio-emotional processing after very preterm birth.NeuroImage. Clinical · 2024Article
- Longitudinal Associations Between Timing of Physical Activity Accumulation and Health: Application of Functional Data Methods.Statistics in biosciences · 2023Article
- ESTIMATION FOR EXTREME CONDITIONAL QUANTILES OF FUNCTIONAL QUANTILE REGRESSION.Statistica Sinica · 2022Article
- Extreme quantile estimation for partial functional linear regression models with heavy-tailed distributions.The Canadian journal of statistics = Revue canadienne de statistique · 2022Article
- Fast Univariate Inference for Longitudinal Functional Models.Journal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America · 2022Article
- Bayesian inference and dynamic prediction of multivariate joint model with functional data: An application to Alzheimer's disease.Statistics in medicine · 2021Article
- Generalized partially functional linear model.Scientific reports · 2021Article
- Clinical assessment of W-band spectroscopy for non-invasive detection and monitoring of sustained hyperglycemia.Biomedical optics express · 2021Article
- A functional mixed model for scalar on function regression with application to a functional MRI study.Biostatistics (Oxford, England) · 2021Article
- Region of Interest Selection for Functional Features.Neurocomputing · 2021Article
- Additive Functional Cox Model.Journal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America · 2021Article
- Extracting scalar measures from functional data with applications to placebo response.Statistics and its interface · 2021Article
- Biological and Functional Biomarkers of Aging: Definition, Characteristics, and How They Can Impact Everyday Cancer Treatment.Current oncology reports · 2020Review
- Longitudinal dynamic functional regression.Journal of the Royal Statistical Society. Series C, Applied statistics · 2020Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
We describe and analyze a longitudinal diffusion tensor imaging (DTI) study relating changes in the microstructure of intracranial white matter tracts to cognitive disability in multiple sclerosis patients. In this application the scalar outcome and the functional exposure are measured longitudinally. This data structure is new and raises challenges that cannot be addressed with current methods and software. To analyze the data, we introduce a penalized functional regression model and inferential tools designed specifically for these emerging types of data. Our proposed model extends the Generalized Linear Mixed Model by adding functional predictors; this method is computationally feasible and is applicable when the functional predictors are measured densely, sparsely or with error. An online appendix compares two implementations, one likelihood-based and the other Bayesian, and provides the software used in simulations; the likelihood-based implementation is included as the lpfr() function in the R package refund available on CRAN.
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.