Key statistical concepts in cancer research

Qian D Shi, Daniel J. Sargent

Research output: Contribution to journalArticle

Abstract

In this article, we provide a high-level overview of statistical concepts related to study design and data analysis in oncology research. These concepts are discussed for 2 main types of clinical research: (1) observational studies, which focus on biomarker discovery in order to predict disease risk and prognosis, and (2) prospectively designed, well-controlled clinical trials, which are critical for the development of new cancer treatments. Throughout the article, we emphasize the importance of appropriate design and prospectively determined analysis plans. We also hope to promote effective collaboration between oncology investigators and statisticians who center their research on the development of cancer treatments.

Original languageEnglish (US)
Pages (from-to)180-185
Number of pages6
JournalClinical Advances in Hematology and Oncology
Volume13
Issue number3
StatePublished - 2015

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Research
Neoplasms
Controlled Clinical Trials
Observational Studies
Biomarkers
Research Personnel

Keywords

  • Clinical trials
  • Endpoints
  • Statistical analysis
  • Study design

ASJC Scopus subject areas

  • Oncology
  • Hematology

Cite this

Key statistical concepts in cancer research. / Shi, Qian D; Sargent, Daniel J.

In: Clinical Advances in Hematology and Oncology, Vol. 13, No. 3, 2015, p. 180-185.

Research output: Contribution to journalArticle

Shi, Qian D ; Sargent, Daniel J. / Key statistical concepts in cancer research. In: Clinical Advances in Hematology and Oncology. 2015 ; Vol. 13, No. 3. pp. 180-185.
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