ReviewNeuron2022
Logistic analysis of choice data: A primer.
Review in Neuron, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
20 citing papers in PubMed, 1 synthesis or guideline pooled it.
- New techniques to identify the tissue of origin for cancer of unknown primary in the era of precision medicine: progress and challenges.Briefings in bioinformatics · 2024Pooled it
- Subjective Values in Decision-Making Under Uncertainty: A Systematic Review.Behavioral sciences (Basel, Switzerland) · 2026Review
- The Laminar Organization of a Decision Circuit in Orbitofrontal Cortex is Agnostic to the Variable Encoding Scheme.bioRxiv : the preprint server for biology · 2026Article
- Incorporating softmax in psychophysical detection models for normal and electric hearing.MethodsX · 2026Article
- Neuronal Activity in Orbitofrontal Cortex during Trinary Choices under Risk.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026Article
- Article
- Preferences for Social Media Vaccination Messaging.JAMA network open · 2026Article
- Leveraging laboratory biomarkers to predict urosepsis after upper urinary tract stone surgery: an explainable machine learning approach.BMC medical informatics and decision making · 2025Article
- A neural circuit framework for economic choice: from building blocks of valuation to compositionality in multitasking.bioRxiv : the preprint server for biology · 2025Article
- Neuronal Activity in Orbitofrontal Cortex during Trinary Choices under Risk.bioRxiv : the preprint server for biology · 2025Article
- Neurobehavioral mechanisms of fear and anxiety in multiple sclerosis.Communications medicine · 2025Article
- Interference of Mid-level Speech and Noise Statistics Underlies Human Speech Recognition Sensitivity in Natural Environmental Noise.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Article
- Gustatory cortex neurons perform reliability-dependent integration of multisensory flavor inputs.Current biology : CB · 2025Article
- The representation of decision variables in orbitofrontal cortex is longitudinally stable.Cell reports · 2024Article
- Sensory choices as logistic classification.Neuron · 2024Review
- Multiattribute Decision-making in Macaques Relies on Direct Attribute Comparisons.Journal of cognitive neuroscience · 2024Article
- Neuronal Activity in the Gustatory Cortex during Economic Choice.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024Article
- Sensory choices as logistic classification.bioRxiv : the preprint server for biology · 2024Article
- Article
- Neuronal origins of reduced accuracy and biases in economic choices under sequential offers.eLife · 2022Article
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
Abstract
Logistic regressions were developed in economics to model individual choice behavior. In recent years, they have become an important tool in decision neuroscience. Here, I describe and discuss different logistic models, emphasizing the underlying assumptions and possible interpretations. Logistic models may be used to quantify a variety of behavioral traits, including the relative subjective value of different goods, the choice accuracy, risk attitudes, and choice biases. More complex logistic models can be used for choices between good bundles, in cases of nonlinear value functions, and for choices between multiple options. Finally, logistic models can quantify the explanatory power of neuronal activity on choices, thus providing a valid alternative to receiver operating characteristic (ROC) analyses.
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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.