ArticleJournal of the Royal Statistical Society. Series C, Applied statistics2016
Assessing systematic effects of stroke on motorcontrol by using hierarchical function-on-scalar regression.
Article in Journal of the Royal Statistical Society. Series C, Applied statistics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 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
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Who cites it
28 citing papers in PubMed, 64 citations in OpenAlex.
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- MODELING TRAJECTORIES USING FUNCTIONAL LINEAR DIFFERENTIAL EQUATIONS.The annals of applied statistics · 2024Article
- SEMIPARAMETRIC BIVARIATE HIERARCHICAL STATE SPACE MODEL WITH APPLICATION TO HORMONE CIRCADIAN RELATIONSHIP.The annals of applied statistics · 2024Article
- Subtle microstructural alterations in white matter tracts involved in socio-emotional processing after very preterm birth.NeuroImage. Clinical · 2024Article
- BAYESIAN INFERENCE AND DYNAMIC PREDICTION FOR MULTIVARIATE LONGITUDINAL AND SURVIVAL DATA.The annals of applied statistics · 2023Article
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- Assessment of Excess Mortality in Italy in 2020-2021 as a Function of Selected Macro-Factors.International journal of environmental research and public health · 2023Article
- Dissociation between abnormal motor synergies and impaired reaching dexterity after stroke.Journal of neurophysiology · 2022Article
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- ORDINAL PROBIT FUNCTIONAL OUTCOME REGRESSION WITH APPLICATION TO COMPUTER-USE BEHAVIOR IN RHESUS MONKEYS.The annals of applied statistics · 2022Article
- High-Dimensional Spatial Quantile Function-on-Scalar Regression.Journal of the American Statistical Association · 2022Article
- Growth dynamics and heritability for plant high-throughput phenotyping studies using hierarchical functional data analysis.Biometrical journal. Biometrische Zeitschrift · 2021Article
- Machine Learning for 3D Kinematic Analysis of Movements in Neurorehabilitation.Current neurology and neuroscience reports · 2020Review
- Bayesian Semiparametric Functional Mixed Models for Serially Correlated Functional Data, with Application to Glaucoma Data.Journal of the American Statistical Association · 2019Article
- Bayesian Functional Joint Models for Multivariate Longitudinal and Time-to-Event Data.Computational statistics & data analysis · 2019Article
- A joint design for functional data with application to scheduling ultrasound scans.Computational statistics & data analysis · 2018Article
- Modeling motor learning using heteroskedastic functional principal components analysis.Journal of the American Statistical Association · 2018Article
- Joint-level energetics differentiate isoinertial from speed-power resistance training-a Bayesian analysis.PeerJ · 2018Article
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
This work is concerned with understanding common population-level effects of stroke on motor control while accounting for possible subject-level idiosyncratic effects. Upper extremity motor control for each subject is assessed through repeated planar reaching motions from a central point to eight pre-specified targets arranged on a circle. We observe the kinematic data for hand position as a bivariate function of time for each reach. Our goal is to estimate the bivariate function-on-scalar regression with subject-level random functional effects while accounting for potential correlation in residual curves; covariates of interest are severity of motor impairment and target number. We express fixed effects and random effects using penalized splines, and allow for residual correlation using a Wishart prior distribution. Parameters are jointly estimated in a Bayesian framework, and we implement a computationally efficient approximation algorithm using variational Bayes. Simulations indicate that the proposed method yields accurate estimation and inference, and application results suggest that the effect of stroke on motor control has a systematic component observed across subjects.
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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.