Literature DB >> 26352426

Key statistical concepts in cancer research.

Qian Shi1, Daniel J Sargent1.   

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.

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Year:  2015        PMID: 26352426

Source DB:  PubMed          Journal:  Clin Adv Hematol Oncol        ISSN: 1543-0790


  2 in total

Review 1.  Clinical research in ovarian cancer: consensus recommendations from the Gynecologic Cancer InterGroup.

Authors:  Ignace Vergote; Antonio Gonzalez-Martin; Domenica Lorusso; Charlie Gourley; Mansoor Raza Mirza; Jean-Emmanuel Kurtz; Aikou Okamoto; Kathleen Moore; Frédéric Kridelka; Iain McNeish; Alexander Reuss; Bénédicte Votan; Andreas du Bois; Sven Mahner; Isabelle Ray-Coquard; Elise C Kohn; Jonathan S Berek; David S P Tan; Nicoletta Colombo; Rongyu Zang; Nicole Concin; Dearbhaile O'Donnell; Alejandro Rauh-Hain; C Simon Herrington; Christian Marth; Andres Poveda; Keiichi Fujiwara; Gavin C E Stuart; Amit M Oza; Michael A Bookman
Journal:  Lancet Oncol       Date:  2022-08       Impact factor: 54.433

Review 2.  Statistical fundamentals on cancer research for clinicians: Working with your statisticians.

Authors:  Wei Xu; Shao Hui Huang; Jie Su; Shivakumar Gudi; Brian O'Sullivan
Journal:  Clin Transl Radiat Oncol       Date:  2021-01-16
  2 in total

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