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Peer-reviewedCC BY 4.0Galen Medical Journal

The Statistical Scalpel: Sharpening Clinical Research Through Statistical Literacy in Neurosurgery: A Short Review

  • Ehsan Jangholi1,2
  • Parivash Hafez Amini3
  • Neda Pak4
  • Atieh Hosseinkhani5
  • Kamkar Aeinfar1
  • Seyed Mohammad Ghodsi1,2
  • Milad Shafizadeh1
  • Mohammadreza Boustani6
6 affiliations
  1. 1Department of Neurosurgery, Shariati Hospital, Tehran University of Medical Sciences, Tehran, Iran
  2. 2Brain and Spinal Cord Injury Research Center, Neuroscience Institute, Tehran University of Medical Sciences, Tehran, Iran
  3. 3Department of Physiology, Faculty of Medicine, Istanbul Atlas University, Istanbul, Turkey
  4. 4Department of Radiology, Children Medical Center of Excellence, Tehran University of Medical Sciences, Tehran, Iran
  5. 5Neurosurgical Intensive Care Unit, Shariati Hospital, Tehran University of Medical Sciences, Tehran, Iran
  6. 6Department of Neurosurgery, Aja University of Medical Science, Tehran, Iran
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Abstract

Modern neurosurgery clearly relies on evidence-based medicine. The integrity, interpretation, and application of research depended on a solid understanding of the statistical methods used. This review highlights the important need for neurosurgeons and trainees to gain proficiency in basic statistical concepts. We emphasize this need throughout the research process—from forming hypotheses and defining variables to selecting tests, analyzing power, and interpreting key indices. Also, we provide practical guides for choosing suitable statistical tests and translating research findings into useful clinical metrics. We believe that statistical literacy is not an extra skill but a key part of clinical expertise and academic success. It allows neurosurgeons to evaluate literature, conduct valid research, and effectively apply evidence in patient care.

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Cite

BibTeXRIS
BibTeX
@article{jangholi2026statistical,
  title = {{The Statistical Scalpel: Sharpening Clinical Research Through Statistical Literacy in Neurosurgery: A Short Review}},
  author = {Ehsan Jangholi and Parivash Hafez Amini and Neda Pak and Atieh Hosseinkhani and Kamkar Aeinfar and Seyed Mohammad Ghodsi and Milad Shafizadeh and Mohammadreza Boustani},
  journal = {Galen Medical Journal},
  year = {2026},
  month = jun,
  doi = {10.31661/gmj.v15i.4142},
  url = {https://doi.org/10.31661/gmj.v15i.4142},
  note = {CC BY 4.0},
}
RIS
TY  - JOUR
TI  - The Statistical Scalpel: Sharpening Clinical Research Through Statistical Literacy in Neurosurgery: A Short Review
AU  - Ehsan Jangholi
AU  - Parivash Hafez Amini
AU  - Neda Pak
AU  - Atieh Hosseinkhani
AU  - Kamkar Aeinfar
AU  - Seyed Mohammad Ghodsi
AU  - Milad Shafizadeh
AU  - Mohammadreza Boustani
PY  - 2026
DA  - 2026/06/01
JO  - Galen Medical Journal
DO  - 10.31661/gmj.v15i.4142
UR  - https://doi.org/10.31661/gmj.v15i.4142
AB  - Modern neurosurgery clearly relies on evidence-based medicine. The integrity, interpretation, and application of research depended on a solid understanding of the statistical methods used. This review highlights the important need for neurosurgeons and trainees to gain proficiency in basic statistical concepts. We emphasize this need throughout the research process—from forming hypotheses and defining variables to selecting tests, analyzing power, and interpreting key indices. Also, we provide practical guides for choosing suitable statistical tests and translating research findings into useful clinical metrics. We believe that statistical literacy is not an extra skill but a key part of clinical expertise and academic success. It allows neurosurgeons to evaluate literature, conduct valid research, and effectively apply evidence in patient care.
SN  - 2588-2767
SN  - 2322-2379
ER  -