An Approach to Evaluating and Comparing Biomarkers for Patient Treatment Selection.

Publication Type:

Journal Article


The international journal of biostatistics (2014)


2014, April 2014, Public Health Sciences Division, Vaccine and Infectious Disease Division


Abstract Despite the heightened interest in developing biomarkers predicting treatment response that are used to optimize patient treatment decisions, there has been relatively little development of statistical methodology to evaluate these markers. There is currently no unified statistical framework for marker evaluation. This paper proposes a suite of descriptive and inferential methods designed to evaluate individual markers and to compare candidate markers. An R software package has been developed which implements these methods. Their utility is illustrated in the breast cancer treatment context, where candidate markers are evaluated for their ability to identify a subset of women who do not benefit from adjuvant chemotherapy and can therefore avoid its toxicity.