ArticleThe annals of applied statistics2019
COMMON AND INDIVIDUAL STRUCTURE OF BRAIN NETWORKS.
Article in The annals of applied statistics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 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
11 citing papers in PubMed.
- Bayesian thresholded modeling for integrating brain node and network predictors.Biostatistics (Oxford, England) · 2025Article
- A robust Bayesian latent position approach for community detection in networks with continuous attributes.Journal of applied statistics · 2025Article
- Generalized Connectivity Matrix Response Regression with Applications in Brain Connectivity Studies.Journal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America · 2023Article
- Genetic underpinnings of brain structural connectome for young adults.Journal of the American Statistical Association · 2023Article
- Outlier detection for multi-network data.Bioinformatics (Oxford, England) · 2022Article
- Hypothesis Testing for Network Data with Power Enhancement.Statistica Sinica · 2022Article
- Graph auto-encoding brain networks with applications to analyzing large-scale brain imaging datasets.NeuroImage · 2021Article
- Inference for Multiple Heterogeneous Networks with a Common Invariant Subspace.Journal of machine learning research : JMLR · 2021Article
- Learning from Binary Multiway Data: Probabilistic Tensor Decomposition and its Statistical Optimality.Journal of machine learning research : JMLR · 2020Article
- Symmetric Bilinear Regression for Signal Subgraph Estimation.IEEE transactions on signal processing : a publication of the IEEE Signal Processing Society · 2019Article
- COMMON AND INDIVIDUAL STRUCTURE OF BRAIN NETWORKS.The annals of applied statistics · 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.
Funding
Abstract
This article focuses on the problem of studying shared- and individual-specific structure in replicated networks or graph-valued data. In particular, the observed data consist of
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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.