A Bayesian precision medicine framework for calibrating individualized therapeutic indices in cancer

DOI10.1214/21-AOAS1550zbMath1496.62191OpenAlexW4297196225MaRDI QIDQ2080717

Veerabhadran Baladandayuthapani, Min Jin Ha, Abhisek Saha, Satwik Acharyya

Publication date: 10 October 2022

Published in: The Annals of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1214/21-aoas1550

zbMATH Keywords

Bayesian methodshigh-dimensional regressionsemi-supervised learninglatent factor modelsprecision medicinegenomic data integration

Mathematics Subject Classification ID

Factor analysis and principal components; correspondence analysis (62H25) Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15)

Uses Software

• BayesDA

Cites Work

• Unnamed Item
• Inference from iterative simulation using multiple sequences
• Bayesian multistudy factor analysis for high-throughput biological data
• Bayesian shrinkage methods for partially observed data with many predictors
• Sparse Bayesian infinite factor models
• Semi-Supervised Approaches to Efficient Evaluation of Model Prediction Performance
• Multi‐study factor analysis
• Ridge Regression: Biased Estimation for Nonorthogonal Problems
• Bayesian analysis of static and dynamic factor models: an ex-post approach towards the rotation problem

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