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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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Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods:
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Random Error01:04

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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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An R-Based Landscape Validation of a Competing Risk Model
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Common errors in statistics and methods.

Peter Flom1, Katie Harron2, Javier Ballesteros3,4

  • 1Peter Flom Consulting, New York, New York, USA peterflomconsulting@mindspring.com.

BMJ Paediatrics Open
|September 16, 2024
PubMed
Summary
This summary is machine-generated.

Statistical reviewers at BMJ Paediatrics Open identified common errors in submitted research. This guide offers corrections to improve the quality and robustness of published paediatric studies.

Keywords:
Statistics

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Area of Science:

  • Biostatistics
  • Medical Research Methodology
  • Paediatric Research

Background:

  • Methodological and statistical errors are frequently observed in manuscripts submitted to BMJ Paediatrics Open (BMJPO).
  • Addressing these errors is crucial for maintaining high standards in scientific publishing.

Purpose of the Study:

  • To compile a list of common statistical and methodological errors encountered in paediatric research submissions.
  • To propose suitable corrections and best practices for authors to enhance research reporting.

Main Methods:

  • A survey was conducted among statistical reviewers and editors at BMJPO.
  • The survey aimed to collect 'pet peeves' and examples of best practices in statistical reporting.

Main Results:

  • Common errors were categorized into seven sections: graphics, statistical significance, presentation, causality, model building, meta-analysis, and miscellaneous.
  • Explanations and brief corrections for these errors are provided.

Conclusions:

  • The guidance aims to assist authors in preparing submissions, leading to higher quality and more robust research reporting in paediatric journals.
  • Implementing these recommendations can improve the overall scientific rigor of published paediatric studies.