Bayesian personalized treatment selection strategies that integrate predictive with prognostic determinants.

Ma, Junsheng; Stingo, Francesco C; Hobbs, Brian P

Ma, Junsheng; Stingo, Francesco C; Hobbs, Brian P.

Affiliation

Ma J; Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Stingo FC; Department of Statistica, Informatica, Applicazioni "G.Parenti", University of Florence, Florence, Italy.
Hobbs BP; Quantitative Health Sciences and The Taussig Cancer Institute, Cleveland Clinic, Cleveland, OH, USA.

Biom J ; 61(4): 902-917, 2019 07.

Article in En | MEDLINE | ID: mdl-30786040

Subject(s)

Biometry/methods; Precision Medicine; Bayes Theorem; Glioma/diagnosis; Glioma/drug therapy; Glioma/pathology; Glioma/radiotherapy; Humans; Neoplasm Grading; Probability; Prognosis

Key words

Bayesian analysis; high-dimensional data; nonexchangeable; personalized medicine; predictive probability; unsupervised clustering

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Biometry / Precision Medicine Type of study: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Biom J Year: 2019 Type: Article Affiliation country: United States

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