Methods and Study Design for Cancer Health Economics Research: Summary of Discussions From a Breakout Session

Henry J. Henk, Ya Chen Tina Shih, Bijan J. Borah

Research output: Contribution to journalArticlepeer-review

Abstract

The legitimacy of findings from cancer health economics research depends on study design and methods. A breakout session, Methods and Study Design for Cancer Health Economics Research, was convened at the Future of Cancer Health Economics Research Conference to discuss 2 commonly used analytic tools for cancer health economics research: observational studies and decision-analytic modeling. Observational studies include analysis of data collected with the primary purpose of supporting economic evaluation or secondary use of data collected for another purpose. Modeling studies develop a parametrized structure, such as a decision tree, to estimate hypothetical impact. Whereas observational studies focus on what has happened and why, modeling studies address what may happen. We summarize the discussion at this breakout session, focusing on 3 key elements of high-quality cancer health economics research: study design, analytical methods, and addressing uncertainty.

Original languageEnglish (US)
Pages (from-to)95-101
Number of pages7
JournalJournal of the National Cancer Institute. Monographs
Volume2022
Issue number59
DOIs
StatePublished - Jul 5 2022

ASJC Scopus subject areas

  • Oncology
  • Cancer Research

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