Biostatistics primer for the radiologist

Kevin J. Psoter, Bahman Sayyar Roudsari, Manjiri K. Dighe, Michael L. Richardson, Douglas S. Katz, Puneet Bhargava

Research output: Contribution to journalReview article

3 Scopus citations

Abstract

OBJECTIVE. The purpose of this article is to review the most common data analysis methods encountered in radiology-based studies. Initially, description of variable types and their corresponding summary measures are provided; subsequent discussion focuses on comparison of these summary measures between groups, with a particular emphasis on regression analysis. CONCLUSION. Knowledge of statistical applications is critical for radiologists to accurately evaluate the current literature and to conduct scientifically rigorous studies. Misapplication of statistical methods can lead to inappropriate conclusions and clinical recommendations.

Original languageEnglish (US)
JournalAmerican Journal of Roentgenology
Volume202
Issue number4
DOIs
StatePublished - Jan 1 2014
Externally publishedYes

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Keywords

  • Data analysis
  • Medical statistics
  • Regression analysis
  • Statistical education
  • Statistical tests

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

Cite this

Psoter, K. J., Sayyar Roudsari, B., Dighe, M. K., Richardson, M. L., Katz, D. S., & Bhargava, P. (2014). Biostatistics primer for the radiologist. American Journal of Roentgenology, 202(4). https://doi.org/10.2214/AJR.13.11657