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Related Concept Videos

Systematic Error: Methodological and Sampling Errors01:15

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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.
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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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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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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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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.
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Errors as a Means of Reducing Impulsive Food Choice
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Frequent methodological errors in clinical research.

L C Silva Aycaguer1

  • 1Escuela Nacional de Salud Pública de Cuba, Ciudad de La Habana, Cuba.

Medicina Intensiva
|March 12, 2018
PubMed
Summary
This summary is machine-generated.

This study identifies and illustrates common, often subtle, errors in clinical research. It differentiates between errors from ignorance and those stemming from a lack of researcher integrity, providing detailed examples.

Keywords:
Clinical trialsEnsayos clínicosFraudFraudePredatory journalsPruebas de significación estadísticaRevistas depredadorasSample sizeSelection biasSesgo de selecciónStatistical significance testsTamaño muestral

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Area of Science:

  • Clinical Research Methodology
  • Research Ethics
  • Scientific Integrity

Background:

  • Clinical research is prone to various errors that can compromise study validity and patient safety.
  • Distinguishing between unintentional errors and those arising from a lack of researcher integrity is crucial but challenging.
  • Existing literature often lists common errors, but less evident or subtle issues are frequently overlooked.

Purpose of the Study:

  • To identify and discuss frequently occurring, yet often less apparent, errors in clinical research.
  • To illustrate these errors with detailed examples rather than brief descriptions.
  • To explore the distinction between errors due to ignorance/neglect and those related to researcher integrity.

Main Methods:

  • Qualitative analysis of common errors in clinical research.
  • Detailed illustration of identified errors through case examples.
  • Discussion differentiating between unintentional errors and ethical breaches.

Main Results:

  • Several frequently encountered errors in clinical research are identified and elaborated upon.
  • Detailed examples are provided to clarify the nature and impact of these errors.
  • The study highlights the difficulty in definitively categorizing errors as either unintentional or integrity-related.

Conclusions:

  • Focusing on detailed examples provides a deeper understanding of subtle clinical research errors.
  • Awareness of these less evident errors is critical for improving the quality and reliability of clinical research.
  • Further attention is needed to address the nuances between unintentional errors and breaches of research integrity.