A flexible approach for predictive biomarker discovery.

Boileau, Philippe; Qi, Nina Ting; van der Laan, Mark J; Dudoit, Sandrine; Leng, Ning

Boileau, Philippe; Qi, Nina Ting; van der Laan, Mark J; Dudoit, Sandrine; Leng, Ning.

Affiliation

Boileau P; Graduate Group in Biostatistics and Center for Computational Biology, University of California, Berkeley, Berkeley, CA 94720, USA.
Qi NT; Genentech Inc., 1 DNA Way, South San Francisco, CA 94080, USA.
van der Laan MJ; Division of Biostatistics, Department of Statistics, Center for Computational Biology, University of California, Berkeley, Berkeley, CA 94720, USA.
Dudoit S; Division of Biostatistics, Department of Statistics, Center for Computational Biology, University of California, Berkeley, Berkeley, CA 94720, USA.
Leng N; Genentech Inc., 1 DNA Way, South San Francisco, CA 94080, USA.

Biostatistics ; 24(4): 1085-1105, 2023 10 18.

Article in En | MEDLINE | ID: mdl-35861622

Subject(s)

Biomedical Research; Carcinoma, Renal Cell; Kidney Neoplasms; Humans; Carcinoma, Renal Cell/diagnosis; Carcinoma, Renal Cell/genetics; Kidney Neoplasms/diagnosis; Kidney Neoplasms/genetics; Biomarkers; Computer Simulation

Key words

Heterogeneous treatment effects; High-dimensional data; Nonparametric statistics; Precision medicine; Predictive biomarkers; Variable importance

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Full text: 1 Database: MEDLINE Main subject: Carcinoma, Renal Cell / Biomedical Research / Kidney Neoplasms Type of study: Clinical_trials / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Biostatistics Year: 2023 Type: Article Affiliation country: United States

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