Bayesian personalized treatment selection strategies that integrate predictive with prognostic determinants

Author:

Ma Junsheng1,Stingo Francesco C.2ORCID,Hobbs Brian P.3

Affiliation:

1. Department of Biostatistics; The University of Texas MD Anderson Cancer Center; Houston TX USA

2. Department of Statistica; Informatica, Applicazioni “G.Parenti”; University of Florence; Florence Italy

3. Quantitative Health Sciences and The Taussig Cancer Institute; Cleveland Clinic Cleveland OH USA

Funder

National Cancer Institute

National Institutes of Health

Publisher

Wiley

Subject

Statistics, Probability and Uncertainty,General Medicine,Statistics and Probability

Reference40 articles.

1. Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach;Aerts;Nature Communications,2014

2. Why do phase iii clinical trials in oncology fail so often?;Amiri-Kordestani;Journal of the National Cancer Institute,2012

3. Analysis of survival by tumor response and other comparisons of time-to-event by outcome variables;Anderson;Journal of Clinical Oncology,2008

4. L1 penalized continuation ratio models for ordinal response prediction using high-dimensional datasets;Archer;Statistics in Medicine,2012

5. Biomarker: Predictive or prognostic?;Ballman;Journal of Clinical Oncology,2015

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