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Criteria for Causality: Bradford Hill Criteria - II

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The Bradford Hill criteria serve as guidelines for establishing causative links in epidemiological research. Beyond Strength, Consistency, Specificity, and Temporality, key criteria also include Biological Gradient, Plausibility, Coherence, Experiment, and Analogy. These principles assist scientists in assessing the likelihood of causation in complex biological contexts. Below is a summary of these concepts:

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Related Experiment Video

Updated: Apr 26, 2026

Creating Objects and Object Categories for Studying Perception and Perceptual Learning

Creating Objects and Object Categories for Studying Perception and Perceptual Learning

Published on: November 2, 2012

The role of functional form in causal-based categorization.

¹New York University.

Journal of Experimental Psychology. Learning, Memory, and Cognition

|August 12, 2014

Summary

This study shows how category features influence reasoning. Causal models accurately predict how people make judgments, whether causes are independent or conjunctive, improving understanding of category-based inferences.

Area of Science:

Cognitive Psychology
Computational Neuroscience

Background:

Category-based inferences are fundamental to cognition.
Understanding the role of causal structure in category representations is crucial.

Purpose of the Study:

To investigate how the functional form of causal relations (independent vs. conjunctive) impacts category-based inferences.
To extend the causal model view of category representations to include conjunctive causes.
To test predictions for classification, conditional feature predictions, and feature likelihoods.

Main Methods:

Two experiments were conducted to examine category-based judgments.
Subjects' judgments were analyzed based on independent versus conjunctive causal structures.
A causal model view was used to derive predictions for three types of judgments.

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Last Updated: Apr 26, 2026

Creating Objects and Object Categories for Studying Perception and Perceptual Learning

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Application of Granger Causality Analysis of the Directed Functional Connection in Alzheimer's Disease and Mild Cognitive Impairment

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Main Results:

Judgments were sensitive to whether causes were independent or conjunctive, aligning with causal model predictions.
Inferences differed significantly between independent and conjunctive causes, as predicted.
A single causal model successfully accounted for three distinct category-based judgments.

Conclusions:

The functional form of causal relations significantly influences category-based inferences.
The extended causal model provides a unified account for various category-based judgments.
This research offers a novel framework for understanding causal knowledge in category representations.