ArticleJournal of the Royal Statistical Society. Series C, Applied statistics2016
A Two Sample Distribution-Free Test for Functional Data with Application to a Diffusion Tensor Imaging Study of Multiple Sclerosis.
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 9 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
9 citing papers in PubMed, 61 citations in OpenAlex.
- The Use of Functional Data Analysis to Evaluate Activity in a Spontaneous Model of Degenerative Joint Disease Associated Pain in Cats.PloS one · 2017Trial
- Sample size estimation for local hypothesis testing of functional data in medical studies: method comparison, recommendations, and a web application.BMC medical research methodology · 2026Article
- Classification Under Local Differential Privacy with Model Reversal and Model Averaging.Journal of machine learning research : JMLR · 2026Article
- Article
- Projection-based two-sample inference for sparsely observed multivariate functional data.Biostatistics (Oxford, England) · 2024Article
- A nonparametric test of group distributional differences for hierarchically clustered functional data.Biometrics · 2023Article
- Testing homogeneity: the trouble with sparse functional data.Journal of the Royal Statistical Society. Series B, Statistical methodology · 2023Article
- Robust Non-negative Tensor Factorization, Diffeomorphic Motion Correction, and Functional Statistics to Understand Fixation in Fluorescence Microscopy.Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention · 2019Article
- Tensor decomposition of hyperspectral images to study autofluorescence in age-related macular degeneration.Medical image analysis · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 1 country.
Funding
Abstract
Motivated by an imaging study, this paper develops a nonparametric testing procedure for testing the null hypothesis that two samples of curves observed at discrete grids and with noise have the same underlying distribution. The objective is to formally compare white matter tract profiles between healthy individuals and multiple sclerosis patients, as assessed by conventional diffusion tensor imaging measures. We propose to decompose the curves using functional principal component analysis of a mixture process, which we refer to 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.