Statistics for the Practicing Spine Surgeon: Supplementary Data Analysis Measurements

Dhruv K.C. Goyal*, Nikhil Grandhi, Thomas J. Lee, Katharine Stolz, Alexander Thomas, Matthew S. Galetta, Srikanth N. Divi, Taolin Fang, Gregory D. Schroeder, Christopher K. Kepler, Alexander R. Vaccaro

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

Abstract

With the rapid rise of clinical spine surgery literature in the last few decades, there is a greater need for practicing spine surgeons to confidently analyze and critique published literature within the field. The conclusions drawn from published studies are often integrated into a physician's clinical decision-making. A strong knowledge in the fundamental statistical measurements used most frequently in spine surgery literature can enhance the ability to properly interpret the meaning of a study's results. However, medical education often lacks the incorporation of clinically relevant statistical analysis. The purpose of this review is to provide an overview of some of the most commonly used statistical measurements in spine surgery, specifically intraclass correlation coefficient, diagnostic testing analyses, Kaplan-Meier curves, hazard ratios, distribution, and variance.

Original languageEnglish (US)
Pages (from-to)35-39
Number of pages5
JournalClinical spine surgery
Volume33
Issue number1
DOIs
StatePublished - Feb 1 2020
Externally publishedYes

Keywords

  • coefficient
  • diagnosis analysis testing
  • evidence-based medicine
  • Kaplan-Meier survival curves and hazard ratios
  • likelihood ratios
  • spine surgery
  • statistical analysis
  • statistics
  • t test
  • χ

ASJC Scopus subject areas

  • Surgery
  • Orthopedics and Sports Medicine
  • Clinical Neurology

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