Design and Analysis Methods for Developing Personalized Treatment Rules

Author(s):  
Emily Butler ◽  
Michael Kosorok
Biometrics ◽  
2016 ◽  
Vol 73 (2) ◽  
pp. 391-400 ◽  
Author(s):  
Ruoqing Zhu ◽  
Ying-Qi Zhao ◽  
Guanhua Chen ◽  
Shuangge Ma ◽  
Hongyu Zhao

2015 ◽  
Vol 2015 ◽  
pp. 1-13 ◽  
Author(s):  
Junsheng Ma ◽  
Brian P. Hobbs ◽  
Francesco C. Stingo

The process for using statistical inference to establish personalized treatment strategies requires specific techniques for data-analysis that optimize the combination of competing therapies with candidate genetic features and characteristics of the patient and disease. A wide variety of methods have been developed. However, heretofore the usefulness of these recent advances has not been fully recognized by the oncology community, and the scope of their applications has not been summarized. In this paper, we provide an overview of statistical methods for establishing optimal treatment rules for personalized medicine and discuss specific examples in various medical contexts with oncology as an emphasis. We also point the reader to statistical software for implementation of the methods when available.


2002 ◽  
Author(s):  
Eugene Laska ◽  
Morris Meisner ◽  
Carole Siegel ◽  
Joseph Wanderling

2012 ◽  
Author(s):  
Antonio P. Sanfilippo ◽  
Andrew J. Cowell ◽  
Michelle L. Gregory ◽  
Robert L. Baddeley ◽  
Patrick R. Paulson ◽  
...  
Keyword(s):  

2004 ◽  
Author(s):  
Roger A. Chadwick ◽  
Douglas J. Gillan ◽  
Dominic Simon ◽  
Skye Pazuchanics

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