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Related Concept Videos

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Causality or causation is a fundamental concept in epidemiology, vital for understanding the relationships between various factors and health outcomes. Despite its importance, there's no single, universally accepted definition of causality within the discipline. Drawing from a systematic review, causality in epidemiology encompasses several definitions, including production, necessary and sufficient, sufficient-component, counterfactual, and probabilistic models. Each has its strengths and...
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In signal processing, a continuous-time signal can be sampled using an impulse-train sampling technique, followed by the zero-order hold method. Impulse-train sampling involves the use of a periodic impulse train, which consists of a series of delta functions spaced at regular intervals determined by the sampling period. When a continuous-time signal is multiplied by this impulse train, it generates impulses with amplitudes corresponding to the signal's values at the sampling points.
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Criteria for Causality: Bradford Hill Criteria - II01:28

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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: Feb 20, 2026

Using Eye Movements Recorded in the Visual World Paradigm to Explore the Online Processing of Spoken Language
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Correction: Temporal causal inference with stochastic audiovisual sequences.

Shannon M Locke, Michael S Landy

    Plos One
    |October 19, 2017
    PubMed
    Summary
    This summary is machine-generated.

    This study corrects a previously published article DOI. The correction ensures accurate citation and referencing for scientific research. This is vital for maintaining the integrity of scientific literature.

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    Area of Science:

    • Bibliometrics
    • Scientific Publishing
    • Scholarly Communication

    Background:

    • Accurate citation is fundamental to scientific integrity.
    • Digital Object Identifiers (DOIs) are crucial for referencing.
    • Ensuring DOI accuracy prevents misattribution and aids research traceability.

    Purpose of the Study:

    • To correct an erroneous Digital Object Identifier (DOI) for a published article.
    • To ensure proper linkage and retrieval of scientific literature.
    • To maintain the accuracy and reliability of the scientific record.

    Main Methods:

    • A correction notice was issued.
    • The incorrect DOI was identified and flagged.
    • The correct DOI was provided for the specific article.

    Main Results:

    • The article DOI has been officially corrected.
    • Readers and indexing services can now access the correct article.
    • The integrity of citation tracking for this publication is restored.

    Conclusions:

    • Correcting DOIs is essential for accurate scholarly communication.
    • This correction ensures the scientific community can properly cite and access the research.
    • Maintaining bibliographic accuracy upholds the standards of scientific publishing.