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Related Concept Videos

Causality in Epidemiology01:21

Causality in Epidemiology

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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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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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Criteria for Causality: Bradford Hill Criteria - I01:30

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The Bradford Hill criteria are a group of principles that provide a framework to determine a causal relationship between a specific factor and a disease. There are nine criteria that are pivotal in assessing causality in epidemiological studies. Here's a closer look at Strength, Consistency, Specificity, and Temporality criteria with definitions and examples:
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Clinically Relevant Drug Product Specifications: Methods of Establishment01:29

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Product specifications define the acceptable quality of a pharmaceutical product by ensuring identity, purity, potency, and strength. These specifications serve as benchmarks during development, manufacturing, and post-approval quality control. Clinically relevant specifications are particularly important because they directly relate to a drug's safety and efficacy in clinical use.Dissolution studies are critical biopharmaceutic tools that link in vitro behavior to in vivo performance. They...
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Cause and Effect01:53

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While variables are sometimes correlated because one does cause the other, it could also be that some other factor, a confounding variable, is actually causing the systematic movement in our variables of interest. For instance, as sales in ice cream increase, so does the overall rate of crime. Is it possible that indulging in your favorite flavor of ice cream could send you on a crime spree? Or, after committing crime do you think you might decide to treat yourself to a cone?
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Correlation and Causation01:27

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Statistical tests can calculate whether there is a relationship, or correlation, between independent and dependent variables. An indirect relationship of the variables signifies a correlation, while a direct relationship shows causation. If it is determined that no connection exists between the variables, then the correlation is a coincidence.
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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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Causality re-established.

Giacomo Mauro D'Ariano1,2

  • 1Dipartimento di Fisica, Università degli Studi di Pavia, via Bassi 6, 27100 Pavia, Italy dariano@unipv.it.

Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences
|May 30, 2018
PubMed
Summary
This summary is machine-generated.

Causality is a theorem of quantum theory, not a physical law. This research defines causality independently of determinism, showing it

Keywords:
algorithmic paradigmcausalityinformationalismoperational theories

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Area of Science:

  • Physics
  • Quantum Mechanics
  • Foundations of Physics

Background:

  • Causality is often misunderstood and incorrectly excluded from physics theories.
  • Misconceptions arise from the perceived reversibility of physical laws and interpretational requirements for realism.

Purpose of the Study:

  • To demonstrate that a well-defined notion of causality is a theorem of quantum theory.
  • To establish causality as a falsifiable proposition within quantum mechanics.

Main Methods:

  • Utilizing the framework of operational probabilistic theories.
  • Defining causality as a partial order among events, analogous to the causal cone in Minkowski space.

Main Results:

  • A rigorous definition of causality is presented as a theorem of quantum theory.
  • Causality is shown to be logically independent of determinism.
  • The concept of causality is demonstrated to be ubiquitous in physics, including classical mechanics as a restriction of quantum theory.

Conclusions:

  • Causality naturally establishes an arrow of time.
  • The 'block Universe' and 'past hypothesis' are incompatible with quantum causality and are thus unfalsifiable interpretations.