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Related Concept Videos

Inductively Coupled Plasma-Mass Spectrometry (ICP-MS): Interferences01:20

Inductively Coupled Plasma-Mass Spectrometry (ICP-MS): Interferences

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Inductively coupled plasma–mass spectrometry (ICP–MS) is a highly selective and sensitive technique for accurate elemental analysis. Though the analysis of ICP–MS mass spectra is comparatively straightforward, it is affected by spectroscopic and non-spectroscopic interferences. Spectroscopic interferences arise when the plasma contains ionic species with an m/z value the same as the analyte ion. Spectroscopic interference can be categorized as isobaric, polyatomic ions, and...
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Atomic Absorption Spectroscopy: Interference01:25

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Interference leads to systematic error in atomic absorption (AA) measurements by enhancing or diminishing the analytical signal or the background. These interferences can be grouped into three main categories: spectral interference, chemical interference, and physical interference.
Spectral interference occurs when signals from other elements or molecules overlap with the analyte signal, falsely elevating or masking the analyte's absorbance. This interference can be corrected using Zeeman,...
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Interference and Diffraction02:18

Interference and Diffraction

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Interference is a characteristic phenomenon exhibited by waves. When two electromagnetic waves interact with their peaks and troughs coinciding, a resulting wave with enhanced amplitude is produced. This is known as constructive interference. In this case, the two waves interacting are in phase with each other.
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Interference: Path Lengths01:10

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Consider two sources of sound, that may or may not be in phase, emitting waves at a single frequency, and consider the frequencies to be the same.
Two special sources may be considered when they are in phase. This can be easily achieved by feeding the two sources from the same source. An example would be synchronizing the two speakers by feeding them with the same source, such as the sound waves produced by a tuning fork. This setup ensures that the two sources have the same frequency and are...
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Mesh Analysis for AC Circuits01:12

Mesh Analysis for AC Circuits

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In the domain of radio communication, the significance of impedance matching must be considered. It is crucial to ensure the efficient transmission of signals between radio transmitters and receivers. Achieving this balance involves using impedance-matching circuits, with one fundamental configuration comprising a resistor, capacitor, and inductor.
The process of harmonizing these impedances begins with a clear understanding of the input and output signals. Once these signals are known, the...
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Interference and Superposition of Waves01:07

Interference and Superposition of Waves

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When two waves of the same nature occur in the same region simultaneously, they result in interference. Interference of waves implies that the net effect of the waves is the sum of the individual waves' effects. However, it does not imply that the individual waves affect the propagation of other waves.
Interference occurs in mechanical waves, such as sound waves, waves on a string, and surface water waves. Mechanical waves correspond to the physical displacement of particles. Hence,...
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Related Experiment Video

Updated: Apr 18, 2026

A Cognitive Paradigm to Investigate Interference in Working Memory by Distractions and Interruptions
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Interference and Sensitivity Analysis.

Tyler J VanderWeele1, Eric J Tchetgen Tchetgen1, M Elizabeth Halloran2

  • 1Departments of Epidemiology and Biostatistics, Harvard School of Public Health, University of Washington.

Statistical Science : a Review Journal of the Institute of Mathematical Statistics
|January 27, 2015
PubMed
Summary

This study addresses causal inference challenges when treatments affect others, developing new sensitivity analysis methods for randomized and non-randomized studies with interference and unmeasured confounding.

Keywords:
Causal inferenceinfectiousness effectinterferencesensitivity analysisspillover effectstable unit treatment value assumptionvaccine trial

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Area of Science:

  • Causal inference
  • Statistics
  • Epidemiology

Background:

  • The "no-interference" assumption in causal inference is being relaxed.
  • Interference occurs when one individual's treatment affects others' outcomes.
  • This is particularly relevant in fields like epidemiology and public health.

Purpose of the Study:

  • To review causal inference with interference under randomization.
  • To address settings where causal effects are unidentified due to lack of randomization or unmeasured confounders.
  • To develop novel sensitivity analysis techniques for these complex scenarios.

Main Methods:

  • Review of existing literature on causal inference with interference under randomized treatments.
  • Development of sensitivity analysis techniques for infectiousness effects in vaccine trials.
  • Extension of sensitivity analysis methods for unmeasured confounding in the presence of interference.

Main Results:

  • New sensitivity analysis techniques are proposed for situations with interference and unmeasured confounding.
  • The methods are applicable to both randomized and non-randomized treatment assignments.
  • Comparison and contrast of different sensitivity analysis techniques for unmeasured confounding are provided.

Conclusions:

  • The developed sensitivity analysis techniques enhance causal inference in the presence of interference.
  • These methods are crucial for settings where direct randomization is insufficient or confounding exists.
  • The study provides valuable tools for researchers in epidemiology and related fields dealing with complex treatment effects.