ArticleElectronic journal of statistics2018
Supervised multiway factorization.
Article in Electronic journal of statistics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
7 citing papers in PubMed.
- Sparse covariate-driven factorization of high-dimensional brain connectivity with application to site effect correction.Biostatistics (Oxford, England) · 2026Article
- Joint modeling of high-dimensional longitudinal data and survival using supervised low-rank tensor decomposition.Biostatistics (Oxford, England) · 2026Article
- A dynamical systems framework for precision psychiatry.NPJ digital medicine · 2025Review
- A canonical polyadic tensor basis for fast Bayesian estimation of multi-subject brain activation patterns.Frontiers in neuroinformatics · 2024Article
- A biomarker discovery framework for childhood anxiety.Frontiers in psychiatry · 2023Article
- Integrative Factor Regression and Its Inference for Multimodal Data Analysis.Journal of the American Statistical Association · 2022Article
- Tensor-on-tensor regression.Journal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America · 2018Article
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
Abstract
We describe a probabilistic PARAFAC/CANDECOMP (CP) factorization for multiway (i.e., tensor) data that incorporates auxiliary covariates,
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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.