Statistical Methods for Establishing Personalized Treatment Rules in Oncology.
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 hav...
| Publicado en: | BioMed Research International Vol. 2015; pp. 1 - 14 |
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| Autores principales: | , , |
| Formato: | Journal Article |
| Publicado: |
Wiley-Blackwell
9/13/2015
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=109990733&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 109990733 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 23146133 FT2T jtl: BioMed Research International issn: 23146133 maglogo: N pubinfo: dt: 9/13/2015 vid: 2015 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 109990733 109990733 NLM26446492 10.1155/2015/670691 NLM26446492 PMC4584067 109990733 ppf: 1 ppct: 13 formats: fmt: @attributes: type: P tig: atl: Statistical Methods for Establishing Personalized Treatment Rules in Oncology. aug: au: Ma, Junsheng Hobbs, Brian P. Stingo, Francesco C. affil: Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Unit 1411, 1400 Pressler Street, Houston, TX 77030, USA sug: ab: 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. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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