SynthesisBMC medical research methodology2013
Applications of functional data analysis: A systematic review.
Synthesis in BMC medical research methodology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
55 citing papers in PubMed.
- Functional principal component analysis as a new methodology for the analysis of the impact of two rehabilitation protocols in functional recovery after stroke.Journal of neuroengineering and rehabilitation · 2014Trial
- Characterizing developmental changes in infant habituation using functional change point detection.Neurophotonics · 2026Article
- Enhancing Nutritional Ingestive Behavior Microstructure Detection: Video Annotation and Passive Sensing Approaches.Nutrients · 2026Article
- Application of functional regression in biomechanical assessment of neck disability: Selection of clinically relevant variables.PloS one · 2026Article
- Non-specific neck pain evaluation using functional linear models with the limma correction.Medical & biological engineering & computing · 2025Article
- Spatio-temporal patterns of river water quality in the klang river basin, malaysia: a functional data analysis approach to detect pre- and post-pandemic shifts.Environmental monitoring and assessment · 2025Article
- Healthcare Expenditure and COVID-19 in Europe: Correlation, Entropy, and Functional Data Analysis-Based Prediction of Hospitalizations and ICU Admissions.Entropy (Basel, Switzerland) · 2025Article
- Estimating the genetic parameters of resilience toward known and unknown disturbances in sheep using wool fibre diameter and body weight variability.Genetics, selection, evolution : GSE · 2025Article
- Characterization and clustering of intra-day physical activity patterns using accelerometry among sexual and gender minority adults.BMC public health · 2025Article
- Characterizing Neurocardiovascular Responses to an Active Stand Test in Older Women: A Pilot Study Using Functional Data Analysis.Sensors (Basel, Switzerland) · 2025Article
- Characterizing bidirectional transitions in mild cognitive impairment and post-reversion based on longitudinal neuroimaging and cognitive assessments.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025Article
- Characterizing daily physical activity patterns with unsupervised learning via functional mixture models.Journal of behavioral medicine · 2025Article
- Remodeling the light-adapted electroretinogram using a bayesian statistical approach.BMC research notes · 2025Article
- Motor styles in action: Developing a computational framework for operationalization of motor distances.Behavior research methods · 2024Article
- Domain Selection for Gaussian Process Data: An Application to Electrocardiogram Signals.Biometrical journal. Biometrische Zeitschrift · 2024Article
- Biomechanical Gait Analysis Using a Smartphone-Based Motion Capture System (OpenCap) in Patients with Neurological Disorders.Bioengineering (Basel, Switzerland) · 2024Article
- Functional data geometric morphometrics with machine learning for craniodental shape classification in shrews.Scientific reports · 2024Article
- Functional data analysis-based yield modeling in year-round crop cultivation.Horticulture research · 2024Article
- Data-Fusion-Based Quality Enhancement for HR Measurements Collected by Wearable Sensors.Sensors (Basel, Switzerland) · 2024Article
- Predicting health outcomes with intensive longitudinal data collected by mobile health devices: a functional principal component regression approach.BMC medical research methodology · 2024Article
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
No grant is acknowledged in the PubMed record.
Abstract
backgroundFunctional data analysis (FDA) is increasingly being used to better analyze, model and predict time series data. Key aspects of FDA include the choice of smoothing technique, data reduction, adjustment for clustering, functional linear modeling and forecasting methods.
methodsA systematic review using 11 electronic databases was conducted to identify FDA application studies published in the peer-review literature during 1995-2010. Papers reporting methodological considerations only were excluded, as were non-English articles.
resultsIn total, 84 FDA application articles were identified; 75.0% of the reviewed articles have been published since 2005. Application of FDA has appeared in a large number of publications across various fields of sciences; the majority is related to biomedicine applications (21.4%). Overall, 72 studies (85.7%) provided information about the type of smoothing techniques used, with B-spline smoothing (29.8%) being the most popular. Functional principal component analysis (FPCA) for extracting information from functional data was reported in 51 (60.7%) studies. One-quarter (25.0%) of the published studies used functional linear models to describe relationships between explanatory and outcome variables and only 8.3% used FDA for forecasting time series data.
conclusionsDespite its clear benefits for analyzing time series data, full appreciation of the key features and value of FDA have been limited to date, though the applications show its relevance to many public health and biomedical problems. Wider application of FDA to all studies involving correlated measurements should allow better modeling of, and predictions from, such data in the future especially as FDA makes no a priori age and time effects assumptions.
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.