How to analyze tumor stage data in clinical research

Zhi De Hu, Zhi Rui Zhou, Qian D Shi

Research output: Contribution to journalArticlepeer-review

9 Scopus citations


Abstract: Tumor staging serves as an important prognostic factor in cancer patient care. It also plays critical roles in cancer-related clinical research. Aimed to shed lights on how to analyze tumor staging related data and deliver proper interpretation, various statistical methods, from categorical data analysis to modeling techniques, were introduced through the examples. General guidelines were discussed for how to choose proper statistical test with key considerations of research aims, study design, measurement scale of data, proper data summary, type of associations, and underlying assumptions of statistical methods.

Original languageEnglish (US)
Pages (from-to)566-575
Number of pages10
JournalJournal of Thoracic Disease
Issue number4
StatePublished - 2015


  • Cancer research
  • Clinical interpretation
  • Statistical methods
  • Tumor stage

ASJC Scopus subject areas

  • Pulmonary and Respiratory Medicine


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