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Statistical principles in neurointervention part 1: basic principles, descriptive statistics and univariable

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This series introduces statistical principles for neurointerventionists. Part one covers foundational concepts like data types, summarization, visualization, and hypothesis testing for better research review and design.

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Area of Science:

  • Neurosurgery
  • Interventional Radiology
  • Medical Statistics

Background:

  • Neurointervention has rapidly advanced with new technologies.
  • Evidence quality has improved from case reports to multicenter studies and randomized trials.
  • Sophisticated statistical methods are increasingly used in neurointervention research.

Purpose of the Study:

  • To provide neurointerventionalists with essential statistical knowledge.
  • To enhance critical appraisal of neurointervention literature.
  • To support the conduct of methodologically sound research in neurointervention.

Main Methods:

  • This is the first part of a two-part series on statistical principles.
  • Covers fundamental statistical concepts relevant to neurointervention.
  • Includes frequentism, data types, data summarization, and data visualization.

Main Results:

  • Explains hypothesis testing and univariable analysis.
  • Discusses common study designs used in the field.
  • Provides a foundation for understanding advanced statistical applications.

Conclusions:

  • Equips neurointerventionalists with foundational statistical knowledge.
  • Aims to improve the quality of research and literature review in neurointervention.
  • Part two will build upon these fundamental concepts for advanced applications.