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Related Concept Videos

Systematic Error: Methodological and Sampling Errors01:15

Systematic Error: Methodological and Sampling Errors

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In the case of systematic errors, the sources can be identified, and the errors can be subsequently minimized by addressing these sources. According to the source, systematic errors can be divided into sampling, instrumental, methodological, and personal errors.
Sampling errors originate from improper sampling methods or the wrong sample population. These errors can be minimized by refining the sampling strategy. Defective instruments or faulty calibrations are the sources of instrumental...
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According to some social psychologists, people tend to overemphasize internal factors as explanations—or attributions—for the behavior of other people. They tend to assume that the behavior of another person is a trait of that person, and to underestimate the power of the situation on the behavior of others. They tend to fail to recognize when the behavior of another is due to situational variables, and thus to the person’s state. This erroneous assumption is...
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Random or indeterminate errors originate from various uncontrollable variables, such as variations in environmental conditions, instrument imperfections, or the inherent variability of the phenomena being measured. Usually, these errors cannot be predicted, estimated, or characterized because their direction and magnitude often vary in magnitude and direction even during consecutive measurements. As a result, they are difficult to eliminate. However, the aggregate effect of these errors can be...
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Margin of Error01:27

Margin of Error

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The margin of error is also called the maximum error of an estimate. The margin of error is the maximum possible or expected difference between the observed sample parameter value and the actual population parameter value. For proportion, it is the maximum difference between the value of sample proportion obtained from the data and the true value of population proportion. As the true value of the population parameter is not known, the margin of error is calculated using the sample statistic.
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Standard Error of the Mean01:13

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The sampling variability of a statistic is defined as how much the statistic varies from one sample to another. The sampling variability of a statistic is typically measured by measuring its standard error.
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Contaminants and Errors01:16

Contaminants and Errors

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Effective sample preparation is crucial for accurate and reliable laboratory analysis. During this process, two significant sources of error can arise: concentration bias from improper sample splitting and contamination caused by methods used to reduce particle size, such as grinding or homogenization. Identifying and minimizing these potential errors is crucial to ensuring the validity of the analysis.
Another key consideration is determining the appropriate number of samples required to...
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Related Experiment Video

Updated: Feb 12, 2026

Nerve Excitability Assessment in Chemotherapy-induced Neurotoxicity
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Chemotherapy medication errors.

Saul N Weingart1, Lulu Zhang1, Megan Sweeney1

  • 1Tufts Medical Center and Tufts University School of Medicine, Boston, MA, USA.

The Lancet. Oncology
|April 4, 2018
PubMed
Summary

Chemotherapy medication errors occur in 1-3% of patients, impacting all treatment stages. While interventions show promise, more research is needed to prevent these potentially serious patient safety risks.

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Area of Science:

  • Oncology
  • Patient Safety
  • Medication Errors

Background:

  • Chemotherapy is a vital cancer treatment.
  • Chemotherapy errors pose significant patient harm risks.
  • Understanding these errors is crucial for improving cancer care.

Purpose of the Study:

  • To review published research on chemotherapy medication errors from 1980-2017.
  • To determine the extent and nature of these errors.
  • To identify effective error prevention interventions.

Main Methods:

  • Systematic literature review of studies published between 1980 and 2017.
  • Focus on medication errors across all stages of chemotherapy use.
  • Analysis of error rates, affected populations, and intervention effectiveness.

Main Results:

  • Chemotherapy errors occur at 1-4 per 1000 orders, affecting 1-3% of patients.
  • Errors are identified across all medication use stages, with oral chemotherapy posing growing risks.
  • Injury rates from chemotherapy errors appear lower than in general medical patients, but interventions lack strong empirical support.

Conclusions:

  • Chemotherapy medication errors are a persistent issue in cancer treatment.
  • Existing interventions require further research to validate their effectiveness.
  • Additional studies are essential to mitigate risks and enhance patient safety in chemotherapy administration.