ArticleThe international journal of biostatistics2016
Addressing Confounding in Predictive Models with an Application to Neuroimaging.
Article in The international journal of biostatistics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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Who cites it
22 citing papers in PubMed.
- Discriminative Plasma Lipidomic Signatures of Dementia with Lewy Bodies and Alzheimer's Disease: A Targeted Mass Spectrometry and Machine Learning Approach.Neuropsychiatric disease and treatment · 2026Article
- Predicting Future Brain Atrophy Based on Longitudinal MRI.medRxiv : the preprint server for health sciences · 2025Article
- Interpreting Neuroscientific Evidence in the Legal Domain: Do the Stereotypes Come In?Integrative psychological & behavioral science · 2024Article
- Challenges in multi-task learning for fMRI-based diagnosis: Benefits for psychiatric conditions and CNVs would likely require thousands of patients.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- Penalized decomposition using residuals (PeDecURe) for feature extraction in the presence of nuisance variables.Biostatistics (Oxford, England) · 2023Article
- Functional Connectome-Based Predictive Modeling in Autism.Biological psychiatry · 2022Review
- Multimodal magnetic resonance neuroimaging measures characteristic of early cART-treated pediatric HIV: A feature selection approach.Human brain mapping · 2022Article
- Article
- Population heterogeneity in clinical cohorts affects the predictive accuracy of brain imaging.PLoS biology · 2022Article
- How to remove or control confounds in predictive models, with applications to brain biomarkers.GigaScience · 2022Article
- Structural neuroimaging biomarkers for obsessive-compulsive disorder in the ENIGMA-OCD consortium: medication matters.Translational psychiatry · 2020Article
- Approaches to Defining Common and Dissociable Neurobiological Deficits Associated With Psychopathology in Youth.Biological psychiatry · 2020Review
- Nearest-neighbor Projected-Distance Regression (NPDR) for detecting network interactions with adjustments for multiple tests and confounding.Bioinformatics (Oxford, England) · 2020Article
- Brain-Age Prediction Using Shallow Machine Learning: Predictive Analytics Competition 2019.Frontiers in psychiatry · 2020Article
- Deep Learning Convolutional Neural Networks Discriminate Adult ADHD From Healthy Individuals on the Basis of Event-Related Spectral EEG.Frontiers in neuroscience · 2020Article
- Ten simple rules for predictive modeling of individual differences in neuroimaging.NeuroImage · 2019Review
- Using deep autoencoders to identify abnormal brain structural patterns in neuropsychiatric disorders: A large-scale multi-sample study.Human brain mapping · 2019Article
- High-dimensional detection of imaging response to treatment in multiple sclerosis.NPJ digital medicine · 2019Article
- Article
- Harmonization of multi-site diffusion tensor imaging data.NeuroImage · 2017Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Understanding structural changes in the brain that are caused by a particular disease is a major goal of neuroimaging research. Multivariate pattern analysis (MVPA) comprises a collection of tools that can be used to understand complex disease efxcfects across the brain. We discuss several important issues that must be considered when analyzing data from neuroimaging studies using MVPA. In particular, we focus on the consequences of confounding by non-imaging variables such as age and sex on the results of MVPA. After reviewing current practice to address confounding in neuroimaging studies, we propose an alternative approach based on inverse probability weighting. Although the proposed method is motivated by neuroimaging applications, it is broadly applicable to many problems in machine learning and predictive modeling. We demonstrate the advantages of our approach on simulated and real data examples.
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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.