ReviewFrontiers in neuroscience2017
Classical Statistics and Statistical Learning in Imaging Neuroscience.
Review in Frontiers in neuroscience, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers, 1 of them a synthesis that pooled it.
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
62 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Prognostic prediction models for adverse birth outcomes: A systematic review.Journal of global health · 2024Pooled it
- A comprehensive framework for statistical testing of brain dynamics.Nature protocols · 2026Review
- Machine learning for predicting CKD stages in patients with autosomal dominant polycystic kidney disease: a nationwide cohort study in Japan.Scientific reports · 2026Article
- A pattern-learning algorithm associates copy number variations with brain structure and behavioural variables in an adolescent population cohort.Nature biomedical engineering · 2026Article
- Machine learning applications for predicting safety incidents in construction industry.Scientific reports · 2026Article
- Association Between Plasma Metabolomic Profile and Machine Learning-Based Brain Age.Aging cell · 2025Article
- Multimodal population study reveals the neurobiological underpinnings of chronotype.Nature human behaviour · 2025Article
- Metabolic Dysfunction-Associated Steatotic Liver Disease Is Associated With Accelerated Brain Ageing: A Population-Based Study.Liver international : official journal of the International Association for the Study of the Liver · 2025Article
- Oscillating Mindfully: Using Machine Learning to Characterize Systems-Level Electrophysiological Activity During Focused Attention Meditation.Biological psychiatry global open science · 2025Article
- Machine learning-based real-time prediction of duodenal stump leakage from gastrectomy in gastric cancer patients.Frontiers in surgery · 2025Article
- The role of AI for MRI-analysis in multiple sclerosis-A brief overview.Frontiers in artificial intelligence · 2025Review
- Towards collaborative data science in mental health research: The ECNP neuroimaging network accessible data repository.Neuroscience applied · 2025Article
- Diagnostic potential of salivary microbiota in persistent pulmonary nodules: identifying biomarkers and functional pathways using 16S rRNA sequencing and machine learning.Journal of translational medicine · 2024Article
- Neurodevelopmental subtypes of functional brain organization in the ABCD study using a rigorous analytic framework.NeuroImage · 2024Article
- Review of the Brain's Behaviour after Injury and Disease for Its Application in an Agent-Based Model (ABM).Biomimetics (Basel, Switzerland) · 2024Review
- Determining risk and predictors of head and neck cancer treatment-related lymphedema: A clinicopathologic and dosimetric data mining approach using interpretable machine learning and ensemble feature selection.Clinical and translational radiation oncology · 2024Article
- Neurodevelopmental Subtypes of Functional Brain Organization in the ABCD Study Using a Rigorous Analytic Framework.bioRxiv : the preprint server for biology · 2024Article
- Gamma power and beta envelope correlation are potential neural predictors of deep hypnosis.Scientific reports · 2024Article
- Association between Resting Heart Rate and Machine Learning-Based Brain Age in Middle- and Older-Age.The journal of prevention of Alzheimer's disease · 2024Article
- Machine learning is an effective method to predict the 3-month prognosis of patients with acute ischemic stroke.Frontiers in neurology · 2024Article
2 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Brain-imaging research has predominantly generated insight by means of classical statistics, including regression-type analyses and null-hypothesis testing using
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.